Snorkel AI is hiring researchers to support the Open Benchmarks Red Team program.

Frontier AI benchmarks can contain grading failures, exploitable shortcuts, and task errors that make results unreliable. We’re looking for a Research Scientist / Research Engineer to identify benchmark weaknesses, help develop and validate fixes, and create reusable methods to improve benchmark quality across tasks and datasets.

This is a hands-on research role combining AI evaluation, adversarial testing, practical benchmark repairs, and close collaboration with benchmark authors. You'll share findings with benchmark authors, work together on fixes, and help get improved benchmark versions adopted.

Red-team frontier benchmarks: Identify and reproduce issues such as reward hacking, grader failures, task ambiguity, shortcuts, and environment vulnerabilities.

Develop benchmark repairs: Propose next steps for validated issues, implement selected fixes with benchmark authors, and verify fixes without breaking valid solutions.

Develop reusable methods: Reuse existing tools where possible and develop new checks to detect recurring benchmark weaknesses.

Collaborate with benchmark authors: Review findings with benchmark authors before publication, collaborate on repairs, and support official improved releases.

Drive research impact: Contribute to technical reports, open-source tools, publications, and new approaches to benchmark evaluation and improvement.

Research Scientist, Open Benchmarks Red Team

Responsibilities

Qualification

Required

Preferred

Company

Snorkel AI

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