AI Model Evaluation and Code Annotation (Frontend-Focused)
This experience involved evaluating, annotating, and providing structured feedback on computer code outputs for AI training purposes. Duties included reviewing TypeScript and frontend code implementations, identifying inconsistencies, and offering precise corrections to generated outputs. Emphasis was placed on ensuring data consistency, accuracy, and actionable recommendations for model improvement. • Performed detailed analysis of generated code outputs and edge-case failures. • Provided feedback to support quality assurance and model retraining cycles. • Used code review techniques similar to annotation workflows for schema validation. • Authored clear, structured documentation and feedback for AI model development.