Snorkel AI builds specialized training data, benchmarks, and evaluation environments that help frontier models and agents perform in high-stakes domains. Backed by Greylock, Lightspeed and GV.
About the role
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.
What they're looking for
- Strong research background in AI, machine learning, NLP, LLMs, or related fields, with experience developing and evaluating new methods
- Experience building environments for AI agents in automated research, computer use, coding, or professional domain workflows
- Experience with one or more of synthetic data generation, human in the loop workflows, reinforcement learning, agent environments, or model evaluation
- Strong experimental design skills, including defining hypotheses and conducting ablations
- Experience with software engineering best practices (e.g., clean coding, modular design, version control)
- Ability to collaborate with domain experts and translate their knowledge into concrete tasks, evaluation criteria, and repeatable workflows
More about this role
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!
We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab.
This role is ideal for someone who wants to advance frontier AI through...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area