Find AI Work That Works for You

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.Responsibilities:Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.Required Qualifications:Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:4+ years of hands-on experience as an applied ML/AI researcherExperience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journalsProfessional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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About Kalepa: Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook. Kalepa is upending this.  Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions. Our AI is designed to deliver real results - insurers literally see massive improvements to their top and bottom lines as soon as they implement Copilot. That’s why our clients call Copilot “truly an underwriter’s dream” and proclaim that Copilot helps them “almost double the amount of accounts they can look at in the day."  Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees.  Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth.  Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere.  About the Role: ‍Base Salary: $170K - $200K* We are seeking a Forward Deployed Engineer to join our Growth team in our New York City HQ. Kalepa’s clients include some of the largest insurance carriers and MGAs (Managing General Agents) in the world, and the Growth team is responsible for delivering outstanding value to our clients via Kalepa’s SaaS platform. This is a high-impact, client-facing role that combines relationship building, software development/implementation, analytics, and strategy to drive measurable value for some of the largest insurers. You’ll work directly with Kalepa’s clients – including underwriters, IT and Operations leaders, and executive leadership – to design, configure, and deliver Kalepa solutions that drive real business value. Specific elements of the role include:  Mastery of Kalepa's SaaS platform Evaluation of client feedback to surface clear product ideas and improvements, and then execute to deliver those improvements to clients Foster and own trust-based relationships with underwriters and executives alike Drive and manage real-time integrations into our clients’ existing systems Lead 1:1 and group user sessions to gather feedback, educate, and ensure clients are getting the utmost value from Kalepa Leverage large datasets to analyze the impact on client KPIs Travel to clients will be required and encouraged where practicable  You will be expected to take ownership of and develop Kalepa’s Growth team, in partnership with and reporting to the VP who leads the group.  About You: 4+ years in an enterprise SaaS role with client-facing experience Strong software engineering foundation – coding experience in OO languages such as Python, Java, C++, C#, etc. Degree in fields such as Computer Science, Software Engineering, Mathematics / Physics, or Data Science strongly preferred Based in the greater New York City area Commercially oriented, data-driven, and excited to scale a world-class SaaS product Comfortable navigating ambiguity in a fast-paced startup environment Strong communicator with a focus on transparency and action - you value open, frank, and respectful communication What You’ll Get: Competitive salary (based on experience level)* Equity options package Work with an ambitious, smart, global, and fun team to transform a $1T global industry Ground floor opportunity – senior associate at a rapidly growing startup Excellent benefits: 100% covered medical, 100% covered vision and dental, and others 20 days of PTO a year Continuing education credits. 401(k) plan with employer contribution (regardless of employee contribution) Global team off-sites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon) *The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range. 

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We are seeking a Statistics Specialist - AI Trainer. You'll play a pivotal role in shaping the future of AI models by reviewing and enhancing outputs generated by cutting-edge large language models (LLMs). Your expertise in statistics, data analysis, and quantitative reasoning will be crucial in ensuring that model outputs are accurate, insightful, and aligned with rigorous academic and applied standards. This position combines technical expertise with high-precision annotation, offering you the opportunity to influence how AI understands and communicates statistical concepts. Responsibilities: - Use internal tools to evaluate AI-generated responses, particularly in statistical, mathematical, and scientific domains.- Analyze and improve AI outputs with a focus on statistical correctness, clarity, and pedagogical relevance.- Curate, annotate, and refine datasets used in training and fine-tuning LLMs with statistical content.- Identify edge cases, model limitations, and annotation inconsistencies related to statistical reasoning.- Collaborate with AI researchers and engineers to iterate on feedback loops and model alignment strategies. Qualifications: - MS or PhD in Statistics, Biostatistics, Applied Mathematics, or a related quantitative field.- Alternatively, 3+ years of experience as a Statistician, Quantitative Analyst, or Data Scientist in research or applied settings.- Strong command of inferential statistics, probability theory, statistical modeling, and hypothesis testing.- Experience reviewing or writing statistical content, especially in educational or technical settings.- Excellent written communication skills, both for technical exposition and explanatory writing.- Ability to independently assess AI responses for statistical rigor and relevance.- Comfortable navigating ambiguity and exercising sound judgment in annotation decisio About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.Responsibilities:Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.Required Qualifications:Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:4+ years of hands-on experience as an applied ML/AI researcherExperience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journalsProfessional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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We are seeking an Education Specialist - AI Trainer, you'll play a pivotal role in training and evaluating advanced AI systems in tasks related to educational content, pedagogy, curriculum design, and learning assessment. Your expertise in instructional theory, cognitive science, and classroom practice will guide the development of high-quality and pedagogically sound outputs across various student-facing use cases. This role offers an exciting opportunity to apply your educational expertise in a cutting-edge, interdisciplinary environment. Responsibilities: - Evaluate AI-generated educational content and provide expert feedback on pedagogy, structure, and clarity.- Score and critique model outputs related to tutoring, instructional design, and assessment across K–12, higher education, and lifelong learning domains.- Collaborate with cross-functional teams to develop annotation standards and quality criteria for educational data.- Help identify areas for improvement in AI behavior, such as cognitive scaffolding, differentiation, or culturally responsive pedagogy.- Support the design and curation of realistic prompts, instructional materials, and assessments for training and fine-tuning purposes.- Adapt to new task definitions and evolving rubrics as our product and models grow. Qualifications:- PhD in Education, Learning Sciences, Instructional Design, Curriculum & Instruction, Educational Psychology, or a related field.- Deep understanding of pedagogical theory and learning design—especially with constructivist, inquiry-based, or evidence-based frameworks.- Experience teaching or designing curriculum at the K–12, undergraduate, or graduate levels.- Strong analytical, evaluative, and writing skills—able to assess content quality from both technical and instructional perspectives.- Comfort working with digital tools and structured educational tasks (e.g., scoring rubrics, taxonomy frameworks, educational standards).- Interest in the application of AI in education, with an open but critical perspective on its role in teaching and learning. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleOperations Manager, Technical SupportAt Abridge, trust is our currency. We are committed to delivering exceptional products, services, and experiences to our customers. We are looking for a highly motivated Operations Manager, Technical Support to join our rapidly growing team and play a key role in scaling our customer support team.  This role offers the unique opportunity to both build and lead the standing up technical troubleshooting processes, while ensuring top-notch service delivery and fostering a customer-centric culture.We take our user experience and happiness seriously and consider the Support Team essential to the company’s success. In this role, you’ll set the standard for what incredible customer experience looks like at Abridge with both our enterprise and individual customers. You’ll be responsible for not only managing daily technical troubleshooting operations and responding to customers with care, but also building and scaling our tools and procedures to meet the growing demands of our business.Ideally, you thrive in a startup environment, specifically with a culture that’s built on seeing obstacles as opportunities, having a bias toward execution, being a little nerdy and perpetually curious, and helping teammates and partners succeed.  This is a truly unique role that will collaborate cross-functionally across our Support and Engineering teams to solve complex issues.What You'll DoServe as the escalation point for ‘Tier 3’ support tickets and take on direct responsibility for final resolution with the end user/organizationDebug and troubleshoot complex issues to identify root causesDevelop processes and documentation for recurring issues to improve scalability and efficiencyCollaborate with the Engineering team on issues that exceed the tools of Support team at largeContribute to training and Knowledge Base articles to documentWork closely with Support and Engineering teams on technical problem solving for unique partner-specific challengesWhat You'll BringHave excellent verbal and written communication skills and ability to tailor technically complex topics to your audienceHave keen attention to detail and ability to find creative solutions for complex problemsAn ability to translate learnings into repeatable technical processes that can scaleHave the ability to smell smoke and escalate early, with proposed solutions.Are creative and scrappy with strong problem solving skills and a bias to action. (Required Engineering Skills):Familiar with how to call APIsHave the ability to technically debug user-facing issuesCan translate user-facing problems into engineering-facing bug ticketsFamiliar with tracking tools such as Jira or LinearFamiliarity with tools like Postman, Browser dev tools, Charles ProxyFamiliar with Typescript and JavascriptFamiliar with GCPBasic coding skillsBonus Points If...Experience integrations into or working with electronic health record systems at large, complex organizations (Epic experience is ideal)Familiarity with systems requiring strict adherence to privacy and security protocolsKnowledge of tiered support organizations and escalation protocols2-3 years of experience in customer/technical support2-3 years of experience collaborating closely with a development teamFamiliar with Github and the PR processWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. The Linguistic Program Manager validates speech and text language data used to train our ASR models. Additionally, the Linguistic Program Manager carries out various tasks that require phonetics and phonology expertise in Tamil. The role establishes the phoneme set and pronunciation rules, which will be used for building the ASR models. The Linguistic Program Manager works closely with the Testing team to create valid test phrases for relevant domains. They also provide various sample phrases to help augment our domains' Language Models. In this role, you will: Assist in gathering and curating the speech and text data for our ASR team Establish phoneme sets and pronunciation rules for the target language Provide test case phrases for our domains Provide artificial training data sets for the Language Models improves domain performance Testing of our systems and analysis of the results. We would love to hear from you if: You have completion of formal language studies, a language degree, or a degree in Linguistics (or equivalent experience) You have native-level proficiency in spoken and written Tamil You have familiarity with linguistics, phonetics, and phonology You have experience as a data evaluator and with training data for machine learning You have experience in data curation, data quality, or software QA You have experience in Bash, Python, or other programming languages You have a background in project management/coordination You have proficiency with Google Docs, Jira, Confluence This role is available in Bengaluru and will be hired into Amelia Global Services, a subsidiary of SoundHound AI. Our recruiting team will provide a total compensation range based on location and years of experience _______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.   #LI-HYBRID #LI-VN1

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We are seeking for an Electrical Engineering Specialist - AI Trainer, you will play a crucial role in refining AI models by reviewing and correcting outputs on topics such as electrical circuits, signal processing, embedded systems, power systems, and electromagnetics. Your expertise will enable AI systems to interpret and respond to complex engineering queries with technical precision. Responsibilities:- Analyze and improve AI-generated content in electrical and electronic engineering domains.- Evaluate model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics.- Annotate and curate training data for electrical engineering-related LLM outputs.- Collaborate with technical teams to identify gaps, inaccuracies, or misleading content.- Apply engineering judgment to ensure high-quality, consistent model outputs. Qualifications:- PhD or MS in Electrical Engineering or a related field, or 3+ years of professional experience as an Electrical Engineer, Embedded Systems Engineer, or similar.- Deep understanding of core electrical engineering principles, system design, and signal analysis.- Ability to assess complex technical material and provide constructive feedback.- Strong written communication skills, especially in explaining technical concepts clearly.- Independent and detail-oriented, with strong decision-making skills. Bonus Experience:- Experience with simulation tools (e.g., SPICE), PCB design, or FPGA programming.- Familiarity with control theory, power electronics, or IoT systems.- Prior teaching, tutoring, or curriculum development in electrical engineering.- Exposure to LLMs or AI-based educational tools.- Participation in model evaluation or annotation workflows. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking for a Chemistry Specialist - AI Trainer, you will play a crucial role in advancing AI’s understanding of chemistry by reviewing expert-annotated chemical data using proprietary software. Your expertise will contribute to refining AI-generated content, ensuring precise chemical concepts, equations, and applications. This role demands analytical thinking, adaptability, and a strong passion for incorporating AI into scientific education. Responsibilities: - Utilize proprietary software to analyze AI-generated chemistry content and offer expert feedback.- Ensure high-quality chemical data curation to enhance AI model accuracy.- Collaborate with technical teams to refine annotation tools and methodologies for chemistry-related tasks.- Evaluate AI-generated and human responses across various chemistry disciplines, including organic, inorganic, physical, and analytical chemistry.- Interpret, analyze, and review chemistry-related tasks based on evolving guidelines. Qualifications:- PhD in Chemistry or a closely related field (either in progress or completed within the last 10 years).- Proficiency in chemical analysis, equations, and laboratory methodologies.- Strong research background and experience in professional scientific writing.- Excellent communication and organizational skills.- Ability to make independent evaluations based on limited data.- Passion for AI, scientific education, and technology. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking for a Coding Specialist - AI Tutor, you will play a pivotal role in advancing AI-assisted programming by evaluating and refining outputs from large language models (LLMs). Your deep knowledge of software engineering, programming languages, and computer systems will be critical in ensuring that model-generated code is accurate, reliable, and educationally valuable. This role is ideal for experienced engineers passionate about blending AI, software development, and educational design. Responsibilities:- Evaluate, debug, and enhance AI-generated code across multiple programming languages, including Python, Rust, JavaScript, C/C++, Java, and Go.- Ensure code quality aligns with best practices for readability, performance, scalability, and correctness.- Curate coding problems and write clean reference implementations, annotating model outputs as needed.- Develop comprehensive technical documentation to assist models in learning and replicating expert coding methods.- Collaborate with AI researchers and engineers to identify code generation blind spots and annotation inconsistencies.- Stay updated with modern software development practices and emerging AI tools. Qualifications:- Advanced proficiency in English, especially for technical communication.- Proficiency in at least one major programming language (Python, Rust, JavaScript, C/C++, Java, or Go) with a strong foundation in software engineering principles. Bonus Expertise:- 2+ years of professional experience in software development or systems engineering.- Familiarity with tools and environments such as SQL, Kubernetes, Spark, Kafka, gRPC, AWS, and related systems.- Contributions to open source projects or a strong online presence on platforms like GitHub or StackOverflow.- Experience in computer science competitions (e.g., ICPC, Codeforces).- Experience with prompt engineering or LLM-based development tools.- Teaching, mentoring, or curriculum development experience in computer science or software engineering.- Knowledge of AI model training pipelines or human-in-the-loop feedback systems. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking Mathematics Specialist - AI Trainer for one of our clients . In this role, you will contribute your extensive subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Your main focus will be creating challenging problems within your domain to generate high-quality data that will significantly impact the future of AI innovation. Qualifications and Responsabilities:- Completed undergraduate studies in the US, UK, or Canada.- Hold a PhD in Mathematics or Statistics from a top US university.- Have high attention to detail.- Possess exceptional written and verbal communication skills.- Interface directly with prominent AI researchers from the lab through a private Slack channel.- Enjoy fully remote and asynchronous work, allowing for flexibility in your schedule. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Biology Expert - AI Trainer with expertise in biological theory and problem-solving to develop and refine high-quality reasoning questions designed to evaluate AI models. Your knowledge in biology will be essential in ensuring the accuracy, rigor, and instructional quality of these test items. Responsibilities: - Create well-structured, undergraduate-level biology questions that assess reasoning, problem-solving, and conceptual understanding.- Solve and verify answers for accuracy and completeness, ensuring that questions require logical reasoning rather than simple memorization.- Categorize questions by difficulty (Easy, Medium, Hard) and refine them to balance complexity and engagement.- Design questions that reflect real-world biological applications, avoiding prompts that are trivial or overly theoretical.- Ensure all questions align with biological principles, avoiding ambiguity, factual errors, or unrealistic assumptions. Minimum Qualifications:- Master’s degree or PhD in Biology, Biochemistry, Genetics, Molecular Biology, Ecology, or a related discipline.- 2+ years of experience in teaching, research, or applied biology.- Familiarity with undergraduate-level biology topics, including cell biology, genetics, physiology, ecology, and evolutionary biology.- Strong writing and critical thinking skills.- Ability to work independently and meet deadlines. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role? As a Member of Technical Staff in the Multilingual team, you will play a crucial role in developing and enhancing our language models to support a wide range of languages. Your primary focus will be on data engineering tasks, including data collection, cleaning, and preparation, to ensure our models perform exceptionally across various linguistic contexts. You will work closely with our research scientists, machine learning engineers, and product teams to deliver high-quality, multilingual AI solutions.This role…Is perfect for someone passionate about languages and AI, with a keen eye for detail and a talent for coding.Offers the opportunity to contribute to cutting-edge language technology, making a global impact.Requires a self-starter who can work independently and deliver results efficiently.Please Note: We have offices in London, Toronto, and New York, but we also embrace being remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.As a Member of Technical Staff for Multilingual you will:Design and implement data pipelines to process and prepare multilingual datasets.Collaborate with researchers to understand data requirements and model performance.Develop tools and scripts to automate data-related tasks and improve efficiency.Ensure data quality and integrity through rigorous testing and validation.Stay updated on the latest advancements in multilingual data processing and contribute to the team's knowledge base.You may be a good fit if you have:A Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred), or equivalent experience.Experience analyzing datasets with respect to quality and suitability for training ML models.Strong software engineering skills, particularly in Python.A strong understanding of data structures, algorithms, and software design principles.Excellent problem-solving skills and the ability to work in a fast-paced environment.Excellent communication skills to collaborate effectively with cross-functional teams and present findings.Prior experience with multilingual data and a passion for natural language processing is a plus.Bonus: One or more first-author papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About Us Encord is building the AI infrastructure of the future. Soon, every big company will be an AI company, and they will need to build, curate, annotate and understand big datasets to train their models. Encord helps them do this. The success of any AI application today is driven by the quality of the training data, and evaluation sets used. In most cases, creating high quality datasets are the most costly and time-consuming part of getting a product to market. Encord is a team of AI researchers, computer scientists, physicists and quants, who felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. It is still early for AI. The potential of the technology is clear, but the tools and processes surrounding it are still primitive. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of multimodal and embodied AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and are consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for our Engineering Manager to join us in building our team. Responsibilities - Lead and manage a squad of 4-5 engineers, building our core product- Collaborate with the cofounders, product managers, and senior engineers to define the product roadmap and ensure it aligns with the company's mission and goals- Drive speedy delivery of high quality features and guide your team towards engineering best practices, including in code reviews, testing, and writing useful documentation- Foster a culture of innovation, collaboration, and ownership within the engineering team- Recruit, interview, hire, and onboard world-class engineers- Mentor and coach individual engineers to help them grow and develop their skills About you - 5+ years of experience in software engineering, with at least 2 years of experience leading a team of engineers- Strong technical background in computer science or a related field- Experience building and scaling complex software systems- Experience leading a fast-moving, high-performing engineering team- Proven ability to recruit and develop technically excellent engineers- Passion for building products that are loved by their users- Excellent communication and collaboration skills- Experience with machine learning, and in particular computer vision, robotics, and embodied AI is a plus We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- Room to grow into anything you choose to — a year ago we were 25 people, now we're at 100. We'll be growing very quickly over the next 24 months and there will be a wide scope for you to grow into roles with greater responsibility.- 25 days annual leave a year + public holidays. Our work is at the intersection of cutting edge AI use cases, and the engineering challenges that come with handling massive scale. Encord offers a rare opportunity to be part of a startup with a clear mission and vision, and with exceptional product-market fit. You will get to explore and build enterprise AI use cases across many different industry verticals such as healthcare, robotics, agentic generative AI and many more.

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Why Delphi? We are redefining how knowledge is shared. We are enabling anyone to transform their unique expertise into an interactive experience, a digital version of their mind: a dynamic reflection of their knowledge and perspective. This is a completely new medium of knowledge transfer designed to make human intelligence deeply engaging and infinitely scalable. Imagine a world where the collective wisdom of individuals isn’t locked away, but is instead a dynamic, ever-evolving resource anyone can engage with. We are building a future where human wisdom is abundant, learning is radically personalized, and individual brilliance scales effortlessly.2,800 years ago individuals from across the Greek world and beyond, including kings, city-state leaders, and ordinary citizens, made pilgrimages to Delphi, seeking guidance on matters ranging from war and politics to personal affairs.And now people will come to Delphi again. Learn more about Delphi and this position by calling the CEO’s digital mind here!Our SupportersWe are proud of the coalition that we’ve been able to build behind Delphi.  The best investors and angels you can find: backing from Sequoia, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde and the founders of Lyft, Zoom, Doordash, and more. Incredible customers: we are a trusted and loved product by thousands of the world’s most brilliant minds. From Tony Robbins to Codie Sanchez, our customers reach tens of millions of people High talent density: our team includes founders with successful exits and builders from Apple, Discord, Spotify, Substack and more, all focused on our mission.We've more than doubled our revenue, users, and Delphi interactions in the last 6 months—all organically through word of mouth. We plan to accelerate even further from here.What It Takes to Succeed at DelphiDelphi is for those who want to be pushed to do their greatest work. We’re looking for those who don’t view their work as a job but rather, they want to shape the future of human connection and leave a lasting impact.This will work for you if:You are ambitious – Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives. In a world of barrels and ammunition, we are in search of barrels. You are obsessed – Being great doesn’t happen by accident. It is hard. You know that and it excites you. We value people who want to be great. You have a unique perspective, and tend to view the world positively – At the end of the day our product is a result of the collaboration of our team. We want people who are additive to culture. We value people who ask the question “What could go right?”What You Will Work OnClone Studio: How our users create, manage, monetize, share, and improve their clones.Interaction Experience: How consumers interact with and learn from clones, via text, voice, and video.Consumer Platform: Where creators will showcase their clones, and consumers will discover and learn.About YouCan-Do, No-Excuse Attitude: You can hop into any situation and GSD, and build with velocity without sacrifice of qualityFast Learner. The world is moving faster than we can keep up with, and your ability to adapt is paramount.Effective Communicator. You understand the importance of not just what the idea is, but how it is delivered.Experience with LLMs (both as an assistant and via API)Skilled with:Typescript/Next.jsPythonHave at least a decent understanding ofSQL, Databases/CachingCloud infrastructureContainerizationEmpathy with your end users.This includes team members who are extending your codeAnd customers who are using your featuresProven track record of passion and engineering prowessWillingness and excitement to own massive initiatives.Bonus - if you understand LLMs and prompting.Why You Might NOT Like Working at DelphiHigh Expectations: We demand excellence. If you’re not comfortable with high standards, constant iteration, and direct feedback, this environment may not align with your working style.In-Person Collaboration: We believe in-person collaboration drives better ideas. If you thrive in a remote-first environment, this may not be the best fit.Ambiguity & Uncertainty: Many of our challenges don’t have obvious solutions. If you’re not comfortable navigating ambiguity or tackling problems without previous solutions this might not align with your working style.Not a 9-to-5: We move fast, iterate often, and tackle ambitious challenges. This isn’t a clock-in/clock-out environment.What You Would GetExcellent team: We have worked hard to put together some of the most ambitious, creative, smart people that we have met. They want to get to know you and work with you. Equity: We are confident that this opportunity is massive, and we want you to share in the upside. Unlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together. Health, Dental, Vision: Comprehensive coverage to keep to take care of your health. In-Person Office: Work from our beautiful office in Jackson Square, San Francisco. We believe that learning through osmosis, in-person, is the best way to learn. Ascension: We’ll push you to do the greatest work of your life, with opportunities to grow both personally and professionally.Tell Us About YouIf all of this piques your interest reach out to us with your resume or linkedin and share a little bit aboutWho you are.What you’re motivated by.Which role and why you’re a good fit. No essays or AI-generated content, please. Authenticity is always the best.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better and fairer Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams.This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management.It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole.Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role. You may be a good fit if you have:Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Extremely strong software engineering skills.Strong expertise in designing and conducting data collection tasks, including working with human annotators.Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models.Hands-on experience training large language models (LLMs) on distributed training infrastructures.Familiarity with evaluating and improving the generalizability and robustness of ML systems.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What’s the role all about? You will be a key contributor to developing a multi-region, multi-tenant SaaS product. You will collaborate with the core R&D team, using technologies like .NET/C#, AWS, and Data to build scalable, high-performance products within a cloud-first, microservices-driven environment. How will you make an impact? Take ownership of the software development lifecycle, including design, development, unit testing, and deployment, working closely with QA teams. Ensure that architectural concepts are consistently implemented across the product. Act as a product expert within R&D, understanding the product’s requirements and its market positioning. Work closely with cross-functional teams (Product Managers, Sales, Customer Support, and Services) to ensure successful product delivery. Key Responsibilities: Design and implement software features in alignment with product specifications and adhere to High-Level Design (HLD) and Low-Level Design (LLD) standards. Contribute to the development of scalable, multi-tenant SaaS solutions. Collaborate with Product Management, R&D, UX, and DevOps teams to deliver seamless, end-to-end solutions. Advocate for and implement Continuous Integration and Delivery (CI/CD) practices to improve development efficiency and product quality. Mentor junior engineers, share knowledge, and promote best practices within the team. Assist in solving complex technical problems and enhance product functionality through innovative solutions. Conduct code reviews to ensure adherence to design principles and maintain high-quality standards. Plan and execute unit testing to verify functionality and ensure automation coverage. Contribute to the ongoing support of software features, ensuring complete quality coverage and responsiveness to any issues during the software lifecycle. Qualifications & Experience: Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, or a related field from a reputed institute. 4-7 years of experience in software development with a strong focus on backend technologies and a track record of delivering complex projects. Expertise in C#, .NET for back-end development. Angular, Javascript, Typescript experience is an added advantage. Experience in developing high-performance, highly available, and scalable systems. Working knowledge of RESTful APIs Solid understanding of scalable and microservices architectures, performance optimization, and secure coding practices. Exceptional problem-solving skills and the ability to work on multiple concurrent projects. Experience working with public cloud platforms like AWS (preferred), Azure. Proficiency in developing solutions that leverage both SQL and NoSQL databases. Hands-on experience with Continuous Integration and Delivery (CI/CD) practices using tools like Docker, Kubernetes, and other modern pipelines. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!   Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Reporting into: Tech Manager, Engineering, CX Role Type: Individual Contributor Req ID: 7218About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About AdCreative.ai AdCreative.ai, based in Paris, France, is a leading AI-driven platform revolutionizing how businesses create advertising and marketing assets. By combining proprietary AI models, advanced technology, and a user-centric approach, AdCreative.ai empowers brands to generate high-performing ad creatives that deliver measurable ROI. Founded in 2021 and trusted by global brands like Snapchat, Pernod Ricard, Reckitt, BNP Paribas and Chopard, the platform merges cutting-edge AI technology with advertising expertise to shape the industry's future, making campaigns faster, smarter, and more impactful. As a trusted partner in the AI era, AdCreative.ai offers innovative tools like Creative Insights, AI Video Ad Generation, and Stock Image Creation, enabling businesses to scale with precision and achieve creative excellence in their campaigns. About the role We are seeking a highly skilled Senior Backend Developer with deep expertise in distributed systems and modern backend architecture. The ideal candidate will be responsible for designing and building scalable, high-performance backend services while maintaining clean, maintainable code and collaborating closely with cross-functional teams. This role requires a strong understanding of microservices, messaging systems, data persistence layers, and system performance optimization. Responsibilities  Architect and develop robust, scalable backend services and APIs using ASP.NET Core  Design efficient, normalized database schemas and optimize data access logic   Implement message-driven communication with high reliability and fault tolerance   Take ownership of backend code quality, documentation, and maintainability   Proactively identify performance bottlenecks and implement scalable solutions   Collaborate with DevOps for containerization and deployment pipeline improvements   Explore and integrate AI-assisted development tools to boost productivity   (Optional) Contribute to low-level integrations through FFI for performance-critical components   About you  [Minimum qualifications] Extensive experience in ASP.NET Core backend development   Advanced proficiency in C# programming and object-oriented principles   Proven experience in distributed systems and microservice architectures   Strong expertise in PostgreSQL, MongoDB, and familiarity with both SQL and NoSQL database design principles   - Proficiency in code-first development and hands-on experience with Entity Framework Core or equivalent ORMs   - Advanced knowledge of **RabbitMQ** or similar **message broker systems** (e.g., Kafka, NATS)   - In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming   - Practical experience with Docker and container-based deployment workflows   - Demonstrated ability to write clean, well-documented code and solve complex problems analytically   - Strong abstract thinking and decision-making capabilities   - Solid experience in performance tuning and designing scalable backend systems  - Familiarity with and ability to leverage AI tools in development workflows   - (Optional) Experience working with FFI (Foreign Function Interface) and integrating native code or libraries  [Preferred qualifications] Solution-oriented mindset with a focus on system sustainability and maintainability   Ability to work independently and make high-level architectural decisions   Willingness to explore and integrate emerging technologies into backend systems   Strong collaboration and communication skills with technical and non-technical stakeholders  #LI-SW1 #LI-Fully Remote

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.We are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI R&D team. You’ll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you’ll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients. What you’ll do:Model research & prototyping – Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding).Data preparation & feature engineering – Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders.Experimentation workflow – Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams.Productionization – Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling.Cross-functional collaboration – Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements.Continuous learning – Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. What we look for: Education: Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related fieldCore expertise:Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization).Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs). Technical stack:Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar.Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks).Nice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes). Mindset & people skills:Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup.Clear, concise communication—both written and verbal.Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions. Location: Hybrid – We have offices in San Francisco and TorontoNotice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.