RL Environment Engineer: Data & Evaluation Lead

A pioneering AI data solutions company in San Francisco seeks a SWE (Environments) to design datasets that influence how frontier models learn. You will collaborate with leading AI labs, exploring data strategies and developing metrics to assess model improvements. Ideal candidates have 1-4 years of experience, preferably in AI safety or reinforcement learning. The position offers a competitive compensation structure of $200k base plus profit share and equity.
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