AI Developer Trace Task Auditor

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

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