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 solution quality, and debug using Python to ensure reliable benchmarks across AI tasks.

Ideal candidates have MSc/PhD in STEM, 1+ years in QA, and strong Python and Git skills with meticulous documentation habits. This role emphasizes independent work and rigorous quality control in a fast-paced environment.

Qualifications

• MSc or PhD in STEM field or equivalent practical experience.
• 1+ year in test engineering or QA role.
• Experience designing test cases and debugging complex systems.
• Proficiency in Python and Git.
• Exceptional attention to detail and clear documentation habits.

Responsibilities

• Design test cases to confirm task functionality, including edge cases.
• Review tasks and reference solutions to catch ambiguities and gaps early.
• Debug using Python when tasks or checks misbehave.
• Build quality checklists and provide actionable feedback to authors.
• Monitor AI agent runs for shortcuts and grading gaps to ensure trustworthy benchmark scores.

Skills

Test design

Python

Git

Debugging

Attention to detail

Education

MSc or PhD in STEM

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 task functionality, including edge cases.
• Review tasks and reference solutions to catch ambiguities and gaps early.
• Debug using Python when tasks or checks misbehave.
• Build quality checklists and provide actionable feedback to authors.
• Monitor AI agent runs for shortcuts and grading gaps to ensure trustworthy benchmark scores.

Qualifications

Must-Have

• MSc or PhD in a STEM field or equivalent practical experience.
• 1+ years in test engineering, quality assurance, or a related role.
• Experience designing test cases 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 and ability to work independently through ambiguous problems.