Research Fellow

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Research Fellow 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. A Snorkel researcher will serve as your co-advisor, and you’ll have access to Snorkel’s broader resources, including paid time from credentialed domain experts and compute to run experiments and evaluate frontier models. You’ll retain your academic affiliation while spending at least one day a week with Snorkel’s research team, including in person in our San Francisco or New York offices where applicable. What you’ll do 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 What you'll get A Snorkel research co-advisor matched to your project Domain Experts, compute, and engineering support for your project An open-source academic artifact released as a part of y