Snorkel AI
Research Scientist - Frontier Benchmarks
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Employer listed it 7 days ago · Found 8h ago
First listed 7 days ago and still open.
Salary
$200,000 to $375,000
Location
Hybrid · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Data
Stated by the employer in the job description
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote), Remote, San Francisco, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote), Remote, San Francisco"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
ABOUT THE ROLE
We're looking for a Research Scientist to lead the design of next-generation benchmarks and datasets that push the boundaries of frontier model evaluation. You'll define what "good" looks like across a range of hard tasks, drawing on conversations with customers and academic partners to ground your datasets in real performance gaps. You'll build both the benchmarks that measure those gaps and the training data that helps close them, then partner with delivery, product, and go-to-market to bring what you build into production.
This role is ideal for someone who wants to shape how the field measures progress in frontier AI, and who's energized by doing that work inside a fast-moving, cross-functional startup.
MAIN RESPONSIBILITIES
Design state of the art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships
Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials.
Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap.
Stay at the frontier of LLM evaluation research and bring best practices into Snorkel's workflows
Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI
PREFERRED QUALIFICATIONS
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.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$200,000 — $375,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Snorkel AI, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 8h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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