Top AI Data Scientist Jobs Openings in 2025

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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 As an early member of our Data Science team, you will play a crucial role in ensuring our AI systems deliver exceptional user experiences through reliable, low-latency performance. You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. Your work will directly influence how millions of users experience Claude and our other AI systems. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure. This role offers the unique opportunity to shape the technical foundation that enables safe, frontier AI to scale globally. Responsibilities: Design and execute comprehensive analyses to understand how latency, reliability, errors, and refusal rates affect user engagement, satisfaction, and retention across our platform Identify and prioritize high-impact infrastructure improvements by analyzing user behavior patterns, system performance metrics, and the relationship between technical performance and business outcomes Develop robust methodologies to measure platform reliability and performance, including defining key metrics, establishing baselines, and creating monitoring systems that enable proactive optimization Collaborate with engineering teams to design A/B tests and controlled experiments that measure the impact of platform improvements on user experience and system performance Investigate performance anomalies, conduct root cause analysis of reliability issues, and provide data-driven insights to guide engineering priorities and architectural decisions Work closely with Platform Engineering, Product, and Research teams to translate technical performance data into user experience insights and strategic recommendations Build models to forecast platform capacity needs, predict potential reliability issues, and optimize resource allocation to maintain optimal performance at scale Present complex technical analyses and recommendations to both technical and non-technical stakeholders, including engineering leadership and executive teams You may be a good fit if you have: Advanced degree in Statistics, Computer Science, Engineering, Mathematics, or related quantitative field, with 5+ years of hands-on data science experience Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics Expertise in experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Strong skills in Python, SQL, and data analysis tools, with experience working with large datasets and real-time streaming data Experience translating technical performance metrics into user experience insights, including understanding how system performance affects user engagement and satisfaction Proven ability to work effectively with engineering teams and translate complex technical analyses into actionable recommendations for diverse audiences Track record of using data science to drive significant improvements in system performance, user experience, or business outcomes Strong candidates may also have: Hands-on experience with observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog) Experience with machine learning infrastructure, model serving, and understanding the unique performance characteristics of AI/ML systems Familiarity with SRE practices, error budgets, SLOs/SLIs, and reliability engineering principles Experience analyzing performance of real-time or near-real-time systems, including understanding of latency distributions and tail behavior Background in user behavior analysis, growth metrics, or product analytics, particularly in understanding how technical performance drives user outcomes Direct experience working with platform or infrastructure teams in high-scale technology environments The expected salary range for this position is:Annual Salary:$275,000—$355,000 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. The AI Tutor - Data Science role is remote position and there are full-time and part-time positions available (please see the bottom of this job description for more details). Responsibilities: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications: Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field. Proficiency in reading and writing, both in informal and professional English. Strong research skills, and the ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications: Possesses research experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a Data Scientist Additional Requirements: Available to work evenings and weekends, as the schedule varies depending on team operational needs; flexibility is required. Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments. For those who will be working from a personal device, please note your computer must be capable of running Windows 10 or macOS BigSur 11.0 or later. Location, Hourly, and Other Expectations: This position is fully remote. We are unable to provide visa sponsorship. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. Please indicate your interest in either full-time, part-time, or either in the application. Note that: Part-Time (20-29 hours per week): While hours are flexible around your schedule, you must be committed to working at least 20 hours per week (with at least 10 of these hours worked on weekdays) and no more than 29 hours per week. Full-Time (40 hours per week): Ideal full-time schedules are 9-5:30pm in your local time zone. However, flexible hours can be be offered. Compensation and Benefits: The pay for this role may range from $35/hr - $65/hr. Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. For full-time roles, benefits will include medical insurance and specific benefits vary by country.  We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others. ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the role We’re looking for an experienced, hands-on Data Scientist to embed into and support analytics within RevOps and Finance teams. In this role, you will:Ensure Data Quality & Integrity: Implement automated data validation and cleansing processes to maintain high-quality datasets, reducing errors that could impact financial reporting or revenue forecasting.Develop Data Models: Create and maintain data models that drive key performance indicators (KPIs) for revenue operations and finance.Build Intuitive Dashboards for Revenue Insights: Design and maintain user-friendly dashboards tailored for revenue leaders, focused on key business metrics such as lead conversion rates, pipeline coverage, sales velocity, and win/loss trends. Prioritize clarity and usability, enabling teams to self-serve insights and track performance against targets. Support Ad Hoc Analysis and Strategic Questions: Act as a thought partner to GTM stakeholders by rapidly answering ad hoc data questions, conducting deep-dive analyses, and providing clear, actionable takeaways grounded in data.Document Processes & Methodologies: Maintain thorough documentation of data pipelines, models, and analytical methodologies to facilitate transparency and ensure consistency across teams.RequirementsA track record of partnering with RevOps and Finance teams to translate business challenges into data-driven solutions, ensuring alignment on key performance metrics.Proficiency with tools across the modern data stack (python, SQL, BI tools, dbt)Bonus: familiarity with Salesforce, Gong, Stripe, Netsuite APIs#LI-Remote

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RyzLabs is seeking a highly skilled and experienced Lead Data Scientist to join our growing analytics team. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, and data engineering, with a proven track record of applying these skills to solve complex business problems, particularly within the e-commerce domain. This role requires a leader who can not only build sophisticated models but also mentor junior team members and translate technical insights into actionable strategies for business stakeholders.  Key Responsibilities  - Lead the design, development, and deployment of advanced predictive models, machine learning algorithms, and data-driven solutions to optimize various aspects of our e-commerce operations (e.g., personalization, recommendation engines, pricing, inventory management, fraud detection, customer lifetime value). - Collaborate with product, engineering, and business teams to identify opportunities for data science applications and dene project scopes.- Perform in-depth exploratory data analysis to uncover trends, paerns, and insights from large, complex datasets across a wide assortment of products. - Develop and maintain robust data pipelines and ensure data quality and integrity for modeling initiatives. - Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences. - Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the team.- Stay abreast of the latest advancements in data science, machine learning, and e-commerce trends, and evaluate their applicability to our business.  Qualifications Must-Haves Education: Master's or Ph.D. in a quantitative eld such as Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related discipline.  Experience: - Minimum of 6+ years of progressive experience in data science, with at least 3 years specically focused on e-commerce, retail, or a similar high-volume consumer-facing industry. Demonstrated experience in building and deploying data science models across a large and diverse assortment of products. Proven leadership experience, including leading projects and mentoring junior team members. Technical Prociency: - Expert-level prociency in Python, including libraries essential for data science (e.g., scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, SciPy). ○ Strong command of SQL for data extraction and manipulation from various databases. - Extensive experience with machine learning techniques (e.g., supervised, unsupervised, reinforcement learning), statistical modeling, hypothesis testing, and experimental design (A/B testing). Analytical Skills - Exceptional problem-solving abilities, with a strong analytical mindset and aention to detail. Ability to translate business problems into quantitative questions and actionable solutions.  Nice-to-Haves - Experience with Marketing Mix Modeling (MMM) or Multi-Touch Aribution (MTA) models for marketing aribution. Experience with big data technologies (e.g., Spark, Hadoop, Flink). - Familiarity with cloud plaorms (e.g., AWS, GCP, Azure) and their data science services. Experience with notebook visualization tools (Hex, Deepnote, Jupyter Notebooks, etc.). Knowledge of causal inference methods. 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 the TeamThe Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.About the RoleAs one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights.Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.Automate standardized reporting and analysis by building data products or agentic solutions.Support product pricing and other business decisions with ad hoc analysis.Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have:MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.Proficiency in Python, SQL, Tableau, and other analytical tools.Strong analytical skills and experience working with large, complex data sets.Proven ability to distill complex data into actionable insights for leadership.Ability to independently initiate and complete projects, owning them end-to-end.Excellent communication and storytelling skills when presenting data insights.Exceptional attention to detail and a commitment to accuracy.You could be an especially great fit if:You’re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.You’re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.You’re passionate about technology and artificial intelligence.You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.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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About the TeamThe Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential.About the RoleWe’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability.This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains.Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability.Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions.Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches.Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks.Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making.You might thrive in this role if you have:Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems.Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability.Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries.Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1.Bonus if you have:Experience building or scaling forecasting platforms in a high-growth company.Familiarity with causal inference, Bayesian forecastingPassion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments.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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Senior Bioinformatician – TranscriptomicsAbout Somite.aiSomite.ai is a venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Our mission is to transform regenerative medicine using our AI-driven DeltaStem platform. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingAbout the Role:We seek a skilled Computational Bioinformatician to lead the design and execution of analysis pipelines for large-scale transcriptomic datasets. You’ll be responsible for preprocessing, quality control, and biological interpretation of sequencing data, contributing to the development of novel sequencing protocols and technologies in close collaboration with wet lab scientists, computational biologists and machine learning researchers to support Somite’s therapeutic programs.This is a hands-on, data-centric role ideal for someone who thrives in a fast-paced, interdisciplinary environment and wants to help build transformative cell therapy technologies from the ground up.Responsibilities:● Build, maintain, and run robust, reproducible pipelines for single-cell and bulk RNA-seq data (QC, alignment, quantification, normalization, clustering, annotation, etc.).● Apply standard and advanced analyses using tools like Scanpy, Seurat, and R/Bioconductor packages.● Process and interpret data from state-of-the-art single-cell transcriptomic and multiomic platforms, alongside new in-house protocols being developed to enable innovative microbiological sequencing workflows.● Collaborate with wet lab scientists to support experimental design and data interpretation.● Mentor and foster collaboration and knowledge sharing across disciplines.● Help design and validate cutting-edge protocols for novel transcriptomic technologies, integrating new experimental modalities with bioinformatics pipeline.Qualifications:● PhD in Bioinformatics, Genomics, Computational Biology, or a related field. Equivalent industry experience is also welcome.● 3+ years of hands-on experience analyzing large-scale single-cell or bulk transcriptomic datasets.● Proficiency with common genomics tools: SAMtools, STAR/STARsolo, Bowtie, Tophat, HTSeq, Clustal, bash scripting, etc.● Strong command of Scanpy or Seurat Demonstrated fluency in Nextflow/Snakemake and workflow reproducibility principles.● Strong R and/or Python programming skills.● Excellent organizational and documentation habits. Strong programming skills and experience developing robust products, preferably in Python● Passion for data-driven biology and its potential to transform healthcare.Preferred Qualifications:● Experience working in a quantitative lab or with biotech/pharma pipelines.● Experience working in a fast-paced startup or interdisciplinary team.● The opportunity to contribute to platform technologies with real-world therapeutic impact.● Experience working at the interface of technology development and data analysis, particularly involving novel molecular biology or sequencing techniques.Click the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingWhat We Offer:● A mission-driven team reshaping healthcare through innovation in AI and cellular engineering - with the potential to significantly impact the lives of millions.● The opportunity to contribute to platform technologies with real-world therapeutic impact.● Work alongside a talented, collaborative, and passionate team at the forefront of AI and cellular biology.● Contribute to the development of groundbreaking therapies that address significant unmet medical needs.● Enjoy a competitive salary, equity and benefits package, including flexible work options.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join and help us unlock the full potential of AI for the benefit of human health.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLabelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Pay Range (rate per hour)$25—$38 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.Role Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. This is a data science role based in our Palo Alto headquarters. At Glean, data scientists collaborate with engineering, product management and design to Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers. Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps. Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement. You’d be embedded within a specific set of products in Glean’s large offering of search and generative AI products. These products aim to make Glean mission critical for the knowledge worker (i.e. the user) and the firm she works at (i.e. the customer).  You’d explore how Glean’s search and generative AI products should intersect. You’d explore different product modalities like web, mobile and desktop apps, as well as experiences where Glean’s embedded into other products like an internal portal or another B2B SaaS product like Slack. You’d explore how unstructured data in documents, structured data and data outside of an organization should come together. You’d look into the knowledge worker as a potential creator of generative AI experiences for others around her, rather than a mere consumer of these experiences. You’d explore knowledge workers in specific job function verticals like engineering and support. You’d think about empowering Glean’s customers to reign in the proliferated set of AI agents around them for maximum value, whether or not they are created by Glean.  At the intersection of all these domains is using product analytics to enhance a user and customer’s experience. Combined with enterprise-grade & highly performant AI, which’d be delivered by sister teams, such magical experience is the prerequisite for making Glean grow into over 1B knowledge workers out there. Minimum qualifications: You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field. You have 5+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 2 years. You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights. You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker. You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).  You are proficient in Python.  You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making. You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods. You are concise and precise in written and verbal communication. Technical documentation is your strong suit.  You are a particularly good fit if: You have experience in B2B SaaS, especially in the enterprise AI space. You have a very strong sense of ownership and self-motivation. You are laser focused on delivering business impact while growing as an individual along with Glean. You are good at managing evolving priorities while bringing core initiatives to a success.  You have experience working with collaborators across large time zone differences. Benefits Competitive compensation Medical, Vision and Dental coverage Flexible work environment and time-off policy 401k Company events A home office improvement stipend when you first join Annual education stipend Wellness stipend Healthy lunches and dinners provided daily For California based applicants:  The standard base salary range for this position is $175,000 - 210,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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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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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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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Your impactAs an AI Tutor, Medicine Specialist, you will be instrumental in enhancing AI capabilities in healthcare and medical sciences by reviewing expert-annotated medical data. Your deep understanding of medical terminology, diagnostics, and treatments will ensure the development of reliable, high-quality AI outputs. This role requires precision, critical thinking, and a drive to bridge medicine with cutting-edge AI technology.This is a contract remote position with variable time commitments. The services to be provided by the Contractor under this agreement are supplementary and not integral to the Handshake’s primary business operations. The Contractor’s services are distinct and separate from the core business activities of Handshake.Your roleUse proprietary software to evaluate AI-generated medical content and provide detailed feedback.Ensure accurate medical data curation to improve AI model performance.Collaborate with technical teams to improve tools and methodologies for medical content review.Review and analyze medical tasks across general practice, pathology, pharmacology, and more.Stay current on evolving medical guidelines and standards.Your experienceMD or PhD in Medicine or a related medical field (completed or in progress within the last 10 years).Strong understanding of clinical terminology and medical research.Excellent research, writing, and communication skills.Experience analyzing case studies or clinical literature.Passion for AI in healthcare.Bonus areas of expertisePublished research in medical journals.Experience with medical education or AI tutoring.Teaching experience in clinical or pre-clinical subjects.Familiarity with EHR or clinical documentation.Additional RequirementsAvailability to work evenings and weekends as needed.Ability to quickly adapt to new skills and evolving requirements.Personal device must support Windows 10 or macOS Big Sur 11.0 or later.Reliable access to a smartphone.Location & Work ExpectationsFully remote position.No visa sponsorship available.Not hiring in Wyoming or Illinois at this time.Compensation range$65/hr - $140/hrFor cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.About usHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.