AI Developer Trace Task Auditor

🏢About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: AI Developer Trace Task Auditor

Role Responsibilities

• 🔹Evaluate the quality and correctness of AI-assisted software-development traces to enhance model training and evaluation.
• 🔹Assess end-to-end coding sessions produced with AI-assisted developer tools for correctness, workflow soundness, and reasoning.
• 🔹Provide clear, rubric-based written feedback to improve AI model outputs .
• 🔹Review complex coding trajectories for alignment with best practices and correctness.
• 🔹Collaborate with AI research teams to ensure consistency and relevance in training data.
• 🔹Work independently and asynchronously to meet deadlines while enhancing AI model performance .

Qualifications

Must-Have

• 🔹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

• 🔹Experience with Kiro or Amazon CodeCatalyst .
• 🔹Prior work evaluating or grading AI-generated code .
• 🔹Contributions to developer tooling .

Application Process (Takes 20–30 mins to complete)

• 🔹Upload resume
• 🔹AI interview based on your resume
• 🔹Submit form

Resources & Support

• 🔹For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• 🔹For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.