Software Test Engineer - Remote

YO AI Labs • 8 hours ago
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Salary
$120k – $224k per year
Location
In office (Seattle)

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 26, 2026.

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YO AI Labs

YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.
yoailabs.com • HQ: San Francisco, United States • Reinforcement Learning • LLM & Generative AI • Artificial Intelligence • 5000+ employees
Tech stack of YO AI Labs

QA Engineer

Role Type: Contractor

Location: Remote

About the Role

We are looking for experienced QA Engineers to support technical evaluation and AI training projects. You'll apply your testing expertise to evaluate technical outputs, identify issues, and maintain high-quality standards.

Key Responsibilities

  • Design and execute functional, regression, and edge-case test cases.
  • Perform manual and automated testing and document results.
  • Identify, report, and track bugs with clear reproduction steps.
  • Evaluate technical outputs against defined quality criteria.
  • Provide detailed feedback and annotations.
  • Collaborate with project teams to improve testing standards.

Required Skills

  • Quality Assurance
  • Software Testing
  • Automation Testing
  • Test Case Design
  • Regression Testing
  • Bug Tracking
  • Manual Testing
  • Quality Evaluation

Preferred Qualifications

  • Professional experience as a QA Engineer, SDET, Test Engineer, or similar role.
  • Strong understanding of QA methodologies and testing practices.
  • Experience with bug-tracking and test-management tools.
  • Strong analytical skills and attention to detail.
  • Excellent written and verbal communication.
  • Self-motivated and comfortable working independently in a remote environment.
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