Research Scientist – Frontier Benchmarks at Snorkel AI, NY

Snorkel AI is hiring a Research Scientist
- Frontier Benchmarks for a full-time position based in New York, NY
. This role places you at the intersection of AI research, company strategy, and go-to-market operations—directly shaping how enterprise AI systems are built and evaluated.

Snorkel AI operates on a core belief: meaningful AI starts with the data, not the model. What began as a Stanford AI Lab research project has grown into a company that partners with some of the world's largest organizations, helping scientists, engineers, financial experts, journalists, and others build custom AI faster than ever before.

In this highly visible, customer-facing role, you will lead the development of next-generation frontier benchmarks and datasets. You will design datasets informed by current model performance and academic partnerships, then collaborate with delivery, product, and go-to-market teams to scale production. You will also serve as a credible technical partner for customers and prospects, driving results that impact the broader research community.

• Dataset Design: Design state-of-the-art datasets that drive frontier model training and evaluation, grounded in current model performance and academic partnerships.
• Narrative Translation: Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer presentations, technical reports, and go-to-market materials.
• Cross-functional Collaboration: Work with data operations, product, engineering, and strategy teams to surface research findings that inform the company roadmap.
• Frontier Awareness: Stay at the leading edge of LLM evaluation research and bring best practices into Snorkel's workflows.
• External Representation: Represent Snorkel's research through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI.

• Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design—especially around measuring the impact of training and evaluation data on model behavior.
• Exceptional communication skills, able to present complex technical findings clearly to both technical and non-technical audiences.
• Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces.
• Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services.
• Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered.

• Salary Range: $200,000–$350,000 USD. Actual compensation is determined by factors including skills, qualifications, experience, and geographic location.
• Growth Opportunities: Meaningful chances to shape priorities, influence strategic decisions, and directly impact the company's ongoing success.
• Company Stage: A rapidly scaling organization with robust funding, market-proven solutions, and the excitement of high growth.

This role is ideal for someone energized by cross-functional work who wants to understand how a startup operates across research, data operations, and commercial teams. If you are driven by frontier model evaluation and want to influence both the research community and commercial AI innovation, this position is designed for you.