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ML Infrastructure Engineer, Safeguards

Anthropic
USD
0
300000
-
405000
US.svg
United States
Full-time
Remote
false
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities: Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may have experience with: Working with large language models and modern transformer architectures Implementing A/B testing frameworks and experimentation infrastructure for ML systems Developing monitoring and alerting systems for ML model performance and data drift Building automated labeling systems and human-in-the-loop workflows Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements Contributing to open-source ML infrastructure projects Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$300,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Machine Learning Engineer
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Ryz Labs.jpg

Machine Learning Specialist - AI Trainer

Ryz Labs
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AR.svg
Argentina
US.svg
United States
Contractor
Remote
true
We are seeking a Machine Learning Engineer Specialist- AI Trainer to join one of our clients. You'll play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency. This role combines analytical thinking with hands-on data quality work, offering research-grade insights into model evaluation and improvement. Responsibilities:- Use internal tools to evaluate and critique AI-generated outputs, focusing primarily on technical and scientific domains.- Review complex model responses and suggest improvements with an emphasis on clarity, correctness, and domain relevance.- Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.- Collaborate closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.- Stay updated on model behaviors and guidelines as they evolve, applying sound judgment to nuanced annotation tasks. Qualifications:- MS or PhD in Computer Science, Machine Learning, Data Science, or a related technical field.- Alternatively, 3+ years of professional experience as a Machine Learning Engineer or Data Scientist at a top-tier company (e.g., FAANG, leading startups, AI labs).- Strong grasp of core machine learning concepts, model training workflows, and evaluation strategies.- Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.- Ability to assess complex technical information and provide constructive, detail-oriented feedback.- Excellent written communication skills, both for technical and explanatory writing.- Ability to operate independently with sound judgment under ambiguous conditions.- Passion for AI development, data quality, and technological advancement. Nice to have:- Publications in machine learning, AI, or computer science journals/conferences.- Experience working with human feedback loops in ML systems (e.g., RLHF, data annotation, model alignment).- Teaching, mentoring, or technical writing experience in ML or related technical domains.- Exposure to generative AI applications or prompt engineering. 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.
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Data Scientist
Data Science & Analytics
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Mechanical Engineering Specialist - AI Trainer

Ryz Labs
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AR.svg
Argentina
US.svg
United States
Contractor
Remote
true
We are seeking a Mechanical Engineering Specialist - AI Trainer to join one of our clients. You'll play a crucial role in advancing the capabilities of AI models by evaluating and refining responses in the field of mechanical engineering. Your expertise in areas such as thermodynamics, statics, dynamics, mechanics of materials, and fluid systems will be essential to ensuring the technical accuracy and quality of AI outputs. This role requires domain knowledge, attention to detail, and a passion for improving data quality in AI systems. Responsibilities:- Evaluate and critique AI-generated responses in mechanical engineering, ensuring clarity, correctness, and relevance.- Provide expert feedback on topics like materials science, fluid mechanics, mechanical design, and manufacturing processes.- Help curate and annotate datasets used to fine-tune models with mechanical engineering content.- Identify edge cases, model errors, and technical inaccuracies in engineering outputs.- Collaborate with interdisciplinary AI teams to enhance model understanding and response quality. Qualifications:- PhD or MS in Mechanical Engineering or a closely related field.- Alternatively, 3+ years of professional experience as a Mechanical Engineer in academia, industry, or applied R&D settings.- Solid understanding of mechanical engineering principles, design practices, and simulation tools.- Strong ability to explain complex concepts clearly in writing.- Comfortable with ambiguous tasks and capable of exercising independent judgment in technical assessments.- Excellent attention to detail, especially in technical communication and numerical accuracy. Nice to have:- Experience with CAD tools, FEA, CFD, or robotics systems.- Teaching, tutoring, or curriculum development experience in mechanical engineering.- Publications or technical writing in engineering disciplines.- Exposure to generative AI systems or LLMs.- Experience with RLHF or data annotation for technical domains. 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.
Machine Learning Engineer
Data Science & Analytics
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Music Specialist - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
We are seeking a Music Specialist - AI Trainer to join one of our clients. You'll play a key role in shaping the future of AI-powered creativity by evaluating and refining music-related outputs generated by advanced AI systems. With your deep expertise in composition, music theory, and production, you will ensure the technical, stylistic, and conceptual accuracy of the musical data used to train and enhance machine learning models. This unique opportunity allows you to apply your artistic judgment and analytical rigor at the intersection of music and AI. Responsibilities:- Evaluate AI-generated musical content for accuracy, creativity, musicality, and adherence to genre/style.- Use internal tools to score, annotate, and critique musical examples across various formats and tasks (e.g., compositions, arrangements, melodic or harmonic completions).- Provide expert feedback on structure, harmony, orchestration, and production quality.- Help curate, refine, or author musical examples across multiple genres and traditions to support training datasets.- Collaborate with AI and engineering teams to refine annotation protocols and evaluation frameworks.- Stay adaptable as task requirements evolve and model capabilities advance. Qualifications:- PhD in Composition, Experimental Music, Music Theory, Music Technology, or a related discipline.- Exceptional aural and analytical skills, with the ability to dissect and interpret music accurately.- Hands-on production expertise, fluent with DAWs (e.g., Logic, Ableton, Pro Tools), mixing, arranging, and digital synthesis techniques.- Genre versatility, with demonstrated fluency in styles including classical, jazz, pop, EDM, film/game scores, world music, and experimental idioms.- Deep understanding of harmony, form, orchestration, and style, with the ability to critique or create musical material from a structural perspective.- Strong pedagogical instincts, with experience in teaching, tutoring, or mentoring in musical analysis or creative practice.- Interest or experience in AI-assisted music tasks, such as evaluating model outputs, tagging musical features, or generating example-based training data. Nice to have:- Released works (e.g., albums, EPs) or notable professional credits (e.g., commissions, film/game scoring, major live performances).- Published academic work in music theory, cognition, or technology.- Experience with notation software (e.g., Sibelius, Finale, Dorico) or music engraving.- Familiarity with computational musicology, MIR, or symbolic music representations (e.g., MIDI, MusicXML). 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.
Vibe Coding
Software Engineering
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Neuroscience Specialist - AI Trainer

Ryz Labs
-
No items found.
Contractor
Remote
true
We are seeking a Neuroscience Specialist- AI Trainer. You will play an essential role in supporting the training of AI models focused on cognitive science, brain function, and neural networks by reviewing expert content. Your expertise in neuroscience will ensure the accurate understanding and representation of brain-behavior relationships, disorders, and therapies in AI outputs. Responsibilities:- Evaluate AI-generated neuroscience content across domains such as cognitive psychology, neuroanatomy, and pharmacology.- Provide feedback based on the latest neuroscientific understanding.- Contribute to the development of tools for curating neuro-related content.- Review academic and clinical neuroscience topics for relevance and accuracy.- Apply critical reasoning to identify gaps in AI outputs and suggest improvements. Qualification:- PhD in Neuroscience, Cognitive Science, or a related field.- Familiarity with neuroimaging, neuropsychology, or neural modeling.- Strong writing and research abilities.- Experience in simplifying complex neuroscience concepts for learners.- Passionate about integrating AI in education and research. Nice to have:- Peer-reviewed publications in neuroscience.- Experience teaching or tutoring in neuro fields.- Background in science communication or medical writing.- Exposure to brain-computer interface or neuro-AI research. 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.
Machine Learning Engineer
Data Science & Analytics
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Physics Specialist - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
We are seeking a Physics Specialist - AI Trainer. You will play a vital role in advancing AI by reviewing expert-annotated physics data using proprietary software. Your in-depth understanding of physics will be key in enhancing AI model accuracy, ensuring precise and reliable content. This role demands analytical thinking, adaptability, and a passion for blending physics expertise with AI technology. Responsibilities:- Utilize proprietary software to evaluate AI-generated physics content and offer expert feedback.- Ensure high-quality physics data curation to enhance AI model training.- Collaborate with technical teams to refine annotation tools and methodologies for physics-related tasks.- Assess AI-generated and human responses in various physics domains, from classical mechanics to quantum theory.- Interpret, analyze, and review physics tasks based on evolving guidelines. Qualifications:- PhD in Physics or a closely related field (either in progress or completed within the last 10 years).- Strong research and analytical skills, with expertise in fundamental and applied physics.- Proficiency in both informal and professional scientific writing.Excellent communication and organizational abilities.- Ability to independently evaluate data and make informed decisions.- Passion for AI, innovation, and technology. Nice to have:- Research experience with published work in a reputable physics journal.- Experience in AI-assisted education or tutoring.- Teaching experience as a professor, lecturer, or tutor in physics.- Experience in technical writing, science communication, or professional scientific writing. 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.
Vibe Coding
Software Engineering
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AGI.jpg

Mobile Engineer

AGI, inc
-
US.svg
United States
Full-time
Remote
false
Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI.If you see possibility where others see limits, read on. About the RoleYou’ll be one of the first engineers defining the mobile experience for our future‑shaping AI agents. As a Full Stack Mobile Engineer, you’ll design, build, and scale cross‑platform apps—delivering responsive, intuitive interfaces deeply integrated with our AGI backend. Your work will directly shape how millions interact with their AI companion, ensuring smooth user journeys from UI components through API layers and real-time data flows.Key ResponsibilitiesArchitect and implement cross‑platform mobile apps (iOS/Android) using React Native or Flutter, delivering polished, native‑feel experiences. Integrate intelligent agent features—like contextual summarization, proactive suggestions, and natural language interactions—into the mobile UI via real‑time APIs. Build secure, scalable backend endpoints (Node.js/Python) to support mobile data sync, offline-first behavior, and real-time updates. Optimize performance by diagnosing and removing bottlenecks—from render cycles to data throughput. Harness "vibe coding" tools and AI‑augmented workflows to accelerate development velocity and maintain coding quality businessinsider.com. Collaborate closely with designers, AI researchers, and backend engineers through agile processes, including code reviews, pair programming, and sprint planning. Deploy, maintain, and monitor mobile apps in App Store and Play Store, ensuring CI/CD, testing, crash reporting, and analytics are in place. You BringExperience: 3+ years in full‑stack mobile development, with strong expertise in React Native or Flutter. Technical Skills: Proficiency in JavaScript/TypeScript (or Dart), mobile UI frameworks, REST/gRPC APIs, and backend services (Node.js, Python). System Design: Experience building offline-capable mobile apps, managing data sync, authentication, and real-time updates. Performance Mindset: Proven ability to diagnose and resolve UI and data-layer bottlenecks; familiarity with profiling tools. AI Familiarity: Comfort integrating AI modules or agent-powered features on mobile; ability to consume LLM-based APIs seamlessly. Collaboration: A proactive teammate and excellent communicator, comfortable navigating a fast-paced startup environment. Vibe Coding Savvy: Experience using AI-powered developer tools (e.g., Cursor, Bolt, GPT-based coding assistants) to augment your workflowOur Culture🏢 All in, in person. Sparks fly faster face-to-face. 🚀 Ship by default. Novel and polished can coexist—speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win.Our perks🍽 Snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.✈️ Relocation and immigration support.
Vibe Coding
Software Engineering
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Statistics Specialist - AI Trainer

Ryz Labs
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AR.svg
Argentina
US.svg
United States
Part-time
Remote
true
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.
Data Scientist
Data Science & Analytics
Machine Learning Engineer
Data Science & Analytics
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Education Specialist - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
earth.svg
Anywhere
Contractor
Remote
true
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.
Vibe Coding
Software Engineering
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Electrical Engineering Specialist - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Part-time
Remote
true
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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Chemistry Specialist - AI Trainer

Ryz Labs
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AR.svg
Argentina
US.svg
United States
Part-time
Remote
true
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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Coding Specialist - AI Trainer

Ryz Labs
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AR.svg
Argentina
US.svg
United States
Part-time
Remote
true
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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Mathematics Specialist - AI Trainer

Ryz Labs
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US.svg
United States
GB.svg
United Kingdom
CA.svg
Canada
Contractor
Remote
true
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.
Machine Learning Engineer
Data Science & Analytics
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Biology Expert - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Part-time
Remote
true
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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Engineering Lead

Encord
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GB.svg
United Kingdom
Full-time
Remote
false
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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Engineering Manager, Mulitimodal (API)

OpenAI
USD
325000
-
405000
US.svg
United States
Full-time
Remote
false
About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs—spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation—we enable users to harness the full potential of diverse AI modalities effectively and at scale.About the Role:We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time processing, speech transcription, speech generation, and image creation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images.In this role, you will:Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our realtime API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o).Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap.Work closely with our research teams to improve our core multimodal models for API customer use cases.Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience.Foster a culture of innovation, continuous improvement, and accountability within your team.Qualifications:Proven experience managing engineering teams that deliver complex, high-quality products at scale.Strong technical background and proficiency in modern software engineering practices and system architecture.Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders.Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation.Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications:Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription.Familiarity with real-time streaming technologies, audio processing, and computer vision.Hands-on experience with cloud platforms and distributed architectures.Location:This role is in-person at our San Francisco office.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Plant Specialist - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Part-time
Remote
true
Join our team as a Plant Specialist - AI trainer and apply your expertise in ecology, botany, or a related field to identify plant genus and species from images.  Responsibilities:- Review images and identify the genus and species of the subject.- Rely on personal knowledge to accurately identify the subject rather than using external sources.- Ensure accuracy and consistency in labeling to meet project standards. Requirements:- Hold a Bachelor’s, Master’s, PhD, or have extensive work experience in ecosystems management, ecology, botany, arboriculture, or a related field.- After the initial application, you may be required to take a screening quiz to identify subjects in sample plant images. 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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Dermatologists - AI Trainer

Ryz Labs
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US.svg
United States
Contractor
Remote
true
We are seeking practicing and licensed dermatologists to assist in a medical annotation project focused on identifying and categorizing skin conditions from clinical images. This role involves labeling and annotating dermatological images with key medical characteristics, including lesion color, shape, and distribution, using medical terminology. Responsibilities: - Review high-resolution images of skin lesions and accurately identify the dermatological conditions.- Categorize lesions based on medically relevant attributes, including color, shape, and distribution.- Ensure accuracy and consistency in labeling to meet medical and project standards. Requirements:- U.S.-licensed dermatologist (M.D.) with 5+ years of experience in clinical practice.- Strong ability to identify and describe skin conditions using medical terminology.- Prior experience in medical and residency education is helpful.- Prior experience in image annotation is helpful. Expected Commitment:- We are looking for a commitment of at least 25 hours per week, with up to 40 hours per week of work available. 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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Art History Expert - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
Ryz Labs is looking for experienced and credentialed art historians with a Master’s or PhD in art or art history to support a high-impact AI training initiative. This role involves curating and annotating diverse artwork from modern, historic, and culturally significant traditions. Candidates will label visual materials across various mediums, contextualize stylistic elements, and identify key artistic features to aid in the development of next-generation AI models. Responsibilities:- Analyze and annotate images of artwork across various historical periods and cultural contexts.- Accurately label works by medium, technique, movement, and artist where appropriate.- Provide contextual information on style, influence, and cultural relevance.- Ensure consistency and precision in annotations based on art historical standards.- Collaborate with technical teams to refine project requirements and outputs. Requirements:- Master’s or PhD in art or art history.- Deep expertise in modern, historic, and culturally significant artworks.- Strong fluency across artistic mediums, including painting, sculpture, photography, and more.- Preferred experience in teaching art history or curating museum or gallery exhibitions.- Comfortable using digital tools and adapting knowledge to AI-focused workflows.- Excellent written communication skills and a client-oriented mindset.- We are seeking a commitment of 30–40 hours per week but may consider 20+ hours for exceptional candidates. 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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Software Engineering
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DevOps Engineer, HPC Services

Mistral AI
0
0
-
0
FR.svg
France
GB.svg
United Kingdom
Full-time
Remote
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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  We are building one of Europe’s largest AI infrastructure offering that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS. As a DevOps Engineer, you will join a fast growing team to help building, scaling and automating our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform. Location: France 🇫🇷 and UK 🇬🇧 as primary location, or remote under conditions (see below)Reporting line: Software Architect, HPC What you will do As a DevOps Engineer in the HPC services team, your primary responsibility will be to engineer robust and dependable infrastructure that supports both our internal operations and customer-facing platforms. Key Responsibilities: • Design, build and maintain scalable, highly available and fault-tolerant infrastructures• Build, scale and automate the full lifecycle of compute nodes, from bootstrapping to decommissioning• Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, API-based features, web apps, dashboards, etc.)• Drive continuous improvement in infrastructure automation, deployment, and orchestration (CI/CD, containerization, orchestration, monitoring, logging and alerting systems...)• Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)• Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences• Collaborate closely with R&D to streamline build systems, scale testing workflows and make sure our inference and model training environments are always highly available and seamlessly replicable across several HPC clusters• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements About you • 7+ years of experience in a DevOps/SRE role• Exposure to highly available distributed systems and site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)• Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes..)• Proven experience troubleshooting complex K8s cluster issues and performing system upgrades• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)• Experience working against reliability KPIs (observability, alerting, SLAs)• Strong understanding of networking, security, and system administration concepts• Excellent problem-solving and communication skills• Self-motivated and able to work well in a fast-paced startup environment Now, it would be ideal if you also had experience with:• HPC workload managers (Slurm)• Distributed storage systems (Lustre, Ceph)
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