QA Engineer (Remote-Worldwide)
Summary
Remote QA role focused on validating AI model outputs: designing and executing test cases, annotating and labeling training datasets, and analyzing model predictions to improve quality. Core requirements are hands-on software QA experience and B2+ English.
This job is with our partner Micro1.
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
Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
Proficiency in English at B2 level or above for effective collaboration and reporting.