AI Developer Trace Task Auditor

About this job Evaluate the quality and correctness of AI-assisted software-development traces used to train and evaluate a frontier AI lab's models. You'll assess end-to-end coding sessions produced with AI-assisted developer tools — judging correctness, workflow soundness, and reasoning — and provide clear, rubric-based written feedback.

Basic Qualifications 3+ years professional software development - Hands-on experience with AI-assisted coding tools and agentic / spec-driven workflows (Cursor, GitHub Copilot, Claude Code, or similar) - Strong code-reading and debugging skills across full-stack or backend systems - Ability to evaluate multi-step coding trajectories for correctness and best practice

Preferred Qualifications - Experience with Kiro or Amazon CodeCatalyst - Prior work evaluating or grading AI-generated code - Contributions to developer tooling We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.