Mercor is seeking PhD or Master’s scientists to author executable AI evaluation tasks for a current scientific benchmarking effort. You will design original problems, source materials, and craft strict grading criteria to challenge frontier models.
The role emphasizes biology-focused domains with a robust emphasis on Python, R, and reproducible workflows using Git/GitHub and Docker. This six-week engagement invites part time contributors to start immediately.
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📌 Biology Ai Sci Code Architect For Benchmarks Toronto
🏢 Obsidian
📍 Toronto
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