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Test Engineer - Fully Remote | Upto $90/hr

Role overview

Qualifications

  • 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.

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.

Key facts

Hard skills

Other skills

  • Quality Assurance
  • Detail Oriented
  • Problem Solving

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
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.

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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: 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.

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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