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.