Conversational AI Data Annotation for Customer Support Chatbot
Worked on annotating and labeling conversational datasets to train and improve a customer support chatbot. Responsibilities included classifying user intents, tagging sentiments, and identifying named entities while following detailed annotation guidelines. Ensured high accuracy and consistency across large datasets, reviewed ambiguous cases, and collaborated with QA teams to maintain quality standards. Contributed to improving model performance by delivering reliable, well-structured training data.