Jobs / Coding

QA Engineer

micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. Pay as listed: $63–$120/hr. Remote.

Pay (as listed on micro1)
$63–$120/hr · Hourly
Job type
Contract
Location
Remote
Languages
English
Category
Coding
Posted
Oct 16, 2026

Skills

  • software quality assurance
  • test case design
  • test execution
  • defect reporting
  • data annotation
  • data labeling
  • ai model evaluation
  • documentation
  • english communication
  • cross-functional collaboration

Job description

Role Title: QA Engineer

Role Type: Contractor

Location: Remote

micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.

Scope of Work

  • Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements.
  • Review, annotate, and label data sets to enhance machine learning model training accuracy.
  • Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.
  • Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.
  • Contribute to the development and refinement of testing methodologies specific to AI-driven systems.
  • Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.
  • Provide actionable recommendations to optimize data quality and model performance.

Preferred Qualifications

  • Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
  • Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
  • Proficiency in English at B2 level or above for effective collaboration and reporting.

Apply on micro1 — this is a referral link; we may receive a reward if you’re hired, at no cost to you.

Listed on micro1. Details can change, so confirm on micro1 before applying.

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