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AI Code Evaluator - Fully Remote | Upto $90/hr

Role overview

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.

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.

Key facts

Hard skills

Other skills

  • Collaboration
  • Time Management

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

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Job description

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

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: support@mercor.com

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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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