QA Engineer

Role overview

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.

Requirements & 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.

Skills

• Software quality assurance
• Test case design
• Test execution
• Defect reporting
• Data annotation
• Data labeling
• AI model evaluation
• Documentation
• English communication
• Cross-functional collaboration