Required skills
- AI model evaluation
- cross-functional collaboration
- Data annotation
- Data labeling
- defect reporting
- documentation
- english communication
- software quality assurance
- test case design
- test execution
Full 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.