Mercor is seeking a professional to evaluate the quality and correctness of AI-assisted software-development traces used to train frontier AI lab models. You will assess end-to-end coding sessions produced with AI-assisted developer tools, judging correctness, workflow soundness, and reasoning, and provide rubric-based written feedback.
You will collaborate with researchers to ensure evaluative criteria are applied consistently and feedback is clearly documented for tooling improvements.
#J-18808-LjbffrAI Code Trace Auditor — Quality Feedback in Remote at Unknown Company
This position is listed as full time and onsite.