Jobs Companies micro1 QA Engineer

About this QA Engineer role at micro1

micro1 · Remote · Remote — 58 countries

Role Title: QA Engineer


Role Type: Contractor


Location: Remote


We are expanding our expert network and looking for QA-specialized engineers to support high-volume engineering evaluation work. In this role, you will apply your testing expertise to review, evaluate, and improve the quality of technical outputs, drawing on both your QA fundamentals and your prior experience working with human data workflows.


Scope of Work

  1. Design and execute test cases for functional, regression, and edge-case scenarios
  2. Perform manual and automated testing and document results with clear, reproducible steps
  3. Identify, log, and track bugs with structured reporting
  4. Evaluate and rate technical outputs against defined quality criteria and rubrics
  5. Provide detailed written feedback and annotations to improve output quality
  6. Collaborate with project teams to refine evaluation guidelines and testing standards


Preferred Qualifications

  1. Proven professional experience as a QA Engineer, SDET, Test Engineer, or similar role
  2. Strong grasp of QA fundamentals: test case design, bug tracking, regression testing, manual and automated testing
  3. Expertise in test case design, bug tracking systems, and test management tools.
  4. Strong analytical and problem-solving skills with a keen attention to detail.
  5. Ability to communicate complex findings clearly through both written reports and verbal discussions.
  6. Proactive, self-motivated contributor with a commitment to quality, collaboration, and continuous learning.
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How this QA Engineer salary compares

This role pays $178,880/yrabove the typical range for QA Engineer roles.

$76,480 median $140,000 $200,000

Typical range $114,000–$171,289/yr, from 821 comparable QA Engineer listings on JobsRadar (pay annualized to USD). See QA Engineer salary insights →

About micro1

micro1 is a human data and talent infrastructure company focused on improving AI systems through high-quality expert input.


It connects vetted domain specialists with AI teams and enterprises to produce training data, run model evaluations, and improve reasoning performance in advanced AI systems.


The platform combines a talent marketplace with AI-driven screening and matching tools, enabling faster access to specialized contributors for tasks like LLM training, agent evaluation, and structured data creation.

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