QA Engineer

Bring your quality mindset to next-generation AI.

Contribute to an AI training project where your QA expertise helps improve data integrity, training accuracy, and model performance through practical testing and evaluation.

Role details

• 🌐 Global | Fully remote
• Contract type: Contractor
• Compensation: Not specified
• Payment terms: Not specified
• Relevant methods: Test planning, defect reporting, data annotation, RLHF, and model evaluation
• Specific tools: Not specified

The opportunity

• Apply your quality assurance knowledge to how AI systems learn, reason, and perform.
• Focus on data integrity, annotation, and comprehensive model evaluation.
• No prior AI experience is required.

What you’ll do

• Design, execute, and document test cases to validate AI outputs against defined requirements.
• Review, annotate, and label datasets to improve machine learning training accuracy.
• Analyze model predictions and report inconsistencies, errors, and recurring patterns.
• Collaborate with cross-functional teams to clarify requirements and communicate findings.
• Refine testing methodologies for AI-driven systems.
• Maintain organized evaluation records, test results, and written feedback.
• Recommend practical improvements to data quality and model performance.

What you’ll bring

• Hands-on software QA expertise, including test planning and defect reporting.
• Preferred experience in data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
• English proficiency at B2 level or above for effective collaboration and reporting.

Put your attention to detail to work improving AI quality.