[Hiring] AI Developer Trace Task Auditor @Mercor

Role Description

• 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

• 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.

Requirements

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

Benefits

• Compensation: $70–$90/hour.
• Location: Remote.
• Type: Contract.

Application Process

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

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• 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.