AI Project Data Annotator and Rater
In various AI project annotation assignments, I labeled training data for sentiment analysis, intent recognition, and topic categorization. I reviewed edge cases and provided feedback to ensure consistent annotation quality. The work included comparative evaluation of AI-generated outputs based on detailed instructions. • Labeled and categorized textual data for NLP use cases. • Provided quality ratings and corrective feedback on model outputs. • Applied policy-based decisions to nuanced text samples. • Supported dataset improvement through annotation error identification.