QA/Test Engineer - Fully Remote | Upto $90/hr

mercor; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

Mercor is seeking a QA/Test Engineer for a remote, contract role. You will design test cases, review tasks, and debug with Python to ensure robust AI-related workflows. The role emphasizes quality assurance, thorough documentation, and collaboration with researchers to protect benchmark scores and identify gaps in AI runs.

MSc/PhD or equivalent experience preferred, 1+ year in test engineering. Proficiency in Python and Git is required, and a perfectionist mindset with attention to detail is

Qualifications

• 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.

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.

Skills

Test design

Quality assurance

Debugging

Python

Education

MSc/PhD in STEM or equivalent

Tools

Git

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: QA/Test Engineer

Type: Contract

Compensation: $60–$90/hour

Location: Remote

Commitment: 35 hours/week

Role 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.

Qualifications

• 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

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