Research Fellowship
New York City, NY (Hybrid) · San Francisco, CA (Hybrid) · Remote · New York City · San Francisco · USD 85-165 / hour · Posted Oct 6, 2026
At a glance
- Location
- New York City, NY (Hybrid) · San Francisco, CA (Hybrid) · Remote · New York City · San Francisco
- Salary
- USD 85-165 / hour
About the role
- As a Research Fellow at Snorkel, you'll build open benchmarks and evaluation environments that help shape how AI progress is measured.
- This fellowship is for PhD students and postdocs who want to turn important questions in their fields into new ways to evaluate AI capabilities.
- You'll own the project from the initial research question through public release, setting its direction and leading its development.
Responsibilities
- Scope and lead a new benchmark, dataset, or environment in a domain where current evaluations fall short
- Define the task specification, rubrics, and reference answers with domain experts from Snorkel's network, and run the expert review process
- Release the research artifact publicly, with you as lead author
- Join weekly research meetings to share progress, receive feedback, and contribute to other researchers’ projects
Requirements
- You’re excited to advance how AI is evaluated in your field and have the research background to design and build open benchmarks, datasets, or environments
- You have demonstrated the ability to turn research ideas into working code, datasets, tools, or other usable research artifacts
- You work well with domain experts outside your own field and can turn their judgment into a specification
- You can scope a project to a public release within the fellowship term
Preferred qualifications
- Publications at venues such as NeurIPS, ICML, ICLR, or the top venues in your own discipline
- Experience with agentic evaluation, RL environments, or LLM evaluation harnesses
- Deep expertise in a domain where expert-level evaluation is scarce, such as the sciences, medicine, law, finance, or engineering
