AI QA Engineer - Test Specialist

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.

About the role

We are looking for a QA/Test Engineer to design and execute test cases, debug issues, and ensure the quality of tasks and benchmark evaluations for AI agents.

Responsibilities

• Design test cases to confirm each task works as intended, including tricky edge cases.
• Review tasks and reference solutions to catch ambiguity and gaps early.
• Debug using Python when tasks or checks don't behave as expected.
• Shape quality checklists and provide actionable feedback to authors.
• Protect benchmark scores by identifying shortcuts and grading gaps in AI agent runs.

Requirements

• MSc or PhD in a STEM field or equivalent practical experience.
• 1+ years in test engineering, quality assurance, or a research/software engineering role.
• Skill in designing test cases, quality-review processes, and debugging complex systems.
• Proficiency in Python and Git.
• Exceptional attention to detail and clear documentation habits.

Preferred Qualifications

• Experience in AI training, model evaluation, or quality review of AI-generated work.
• A perfectionist mindset with creativity in identifying overlooked issues.

Pay

$60–$90/hour

Schedule

35 hours/week (contract, remote)