QA Engineer - AI Evaluation & Data Quality

• Design, execute, and document test cases and scenarios.
• Validate AI-generated outputs against defined requirements.
• Review, annotate, and label datasets to support model training.
• Evaluate model predictions and identify errors, inconsistencies, and patterns.
• Document test results, evaluations, and feedback clearly.
• Collaborate with cross-functional teams to clarify requirements and findings.
• Help improve testing methodologies for AI-driven systems.
• Provide actionable recommendations to improve data quality and model performance.

• Hands-on experience in software QA and testing .
• Strong understanding of test planning, execution, and defect reporting.
• Experience with data annotation, data labeling, RLHF, or AI/model evaluation is preferred.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• English proficiency at B2 level or above .
• Ability to work independently in a remote environment.

• Role: QA Engineer
• Work Type: Contractor
• Location: Remote
• Focus: AI Evaluation, QA & Data Quality
• AI Experience: Not required if you have relevant QA expertise.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.