AI QA Engineer: Data & Model Validation

Your Software Supplier; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Micro1 is seeking a QA professional to design, execute, and document test cases and scenarios that validate AI outputs against defined requirements.

You will review, annotate, and label data sets, evaluate model predictions, and communicate findings to cross-functional teams. You will help refine testing methodologies for AI-driven systems and maintain thorough records to support continuous improvement.

Qualifications

• Hands-on expertise in software quality assurance.
• Strong understanding of test planning.
• Experience with defect reporting and tracking.

Responsibilities

• 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.

Skills

Quality assurance

Test planning

Defect reporting

English communication

Job description

Micro1 is seeking a QA professional to design, execute, and document test cases and scenarios that validate AI outputs against defined requirements.

You will review, annotate, and label data sets, evaluate model predictions, and communicate findings to cross-functional teams. You will help refine testing methodologies for AI-driven systems and maintain thorough records to support continuous improvement.