Chat Data Labeling
Worked on chat data labeling for AI training purposes by reviewing and annotating conversational datasets. Tasks included reading chat interactions, applying accurate labels according to project guidelines, categorising user intent, and ensuring data consistency and quality. The work required strong attention to detail, accuracy in interpretation, and the ability to follow structured annotation rules while handling large volumes of text data. I contributed to improving AI model performance by ensuring high-quality labeled data suitable for machine learning training. The project involved maintaining accuracy standards, checking for inconsistencies, and ensuring that all labeled outputs aligned with required specifications for AI developmen