DataAnnotation - Software Validation
This role involved evaluating AI-generated text outputs for accuracy, consistency, and compliance with internal guidelines. The work required critical analysis of datasets to identify edge cases and provide detailed feedback for model improvement. Consistency in interpreting technical instructions and maintaining productivity across varied AI validation projects was essential. • Assessed AI text outputs for quality and guideline adherence • Identified and reported dataset anomalies and edge cases • Provided constructive feedback to enhance AI model performance • Documented issues and communicated effectively with technical stakeholders