QA / Software Engineering Reviewer – Browser Test Validation
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Job Description
QA reviewer validating browser tests for Mercor, which partners with AI labs and enterprises to train frontier models. Ensuring deterministic, reliable evaluation workflows for AI-generated web applications.
Responsibilities:
- Review browser-based testing workflows for AI-generated web applications
- Assess whether browser interactions are technically feasible and reliable
- Validate test isolation, fixtures, setup, and execution flow
- Ensure assertions produce deterministic, unambiguous pass/fail results
- Identify flaky tests, hidden dependencies, or ambiguous validation logic
- Provide structured technical feedback following project review rubrics
- Contribute to the development of AI systems by ensuring browser-based evaluation workflows are technically robust and reliable
- Review realistic web application testing scenarios involving automation, test design, and software quality engineering
- Collaborate with a high-calibre team helping establish quality standards for AI-generated software evaluation
Requirements:
- 3+ years of experience in Software Engineering, QA Engineering, SDET, or Test Automation
- Strong experience testing modern web applications
- Familiarity with browser automation frameworks such as Playwright, Cypress, Selenium, or similar tools
- Experience writing automated UI and end-to-end tests
- Strong understanding of test isolation, fixtures, reproducibility, and reliable browser automation
- Excellent debugging skills and attention to detail
- Must be an independent contractor
- Mercor is unable to support H1-B or STEM OPT candidates at this time
Benefits:
- Fully remote role that can be completed on your own schedule
- Weekly payments via Stripe or Wise based on services rendered
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Competitive pay
- Collaboration with leading researchers
- Opportunity to contribute to training and enhancing AI systems
- Referral payments of up to $240 for each successful referral, subject to referral limits
- Reasonable accommodations upon request
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