Independent Data Annotation Specialist – Financial Conversation Dataset Labeling Project

Led the labeling of a financial conversation dataset to train an AI-powered financial advisor. Oversaw annotation of user intents, transaction categories, function calls, response evaluations, and SQL query safety checks in conversational AI data. Delivered structured JSON records for each labeled interaction, ensuring adherence to accuracy, security, and consistency guidelines. • Classified user intents and categorized transactions/merchants in financial chats. • Evaluated assistant replies for tone, completeness, and professionalism to support high-quality model training. • Labeled backend function calls and validated SQL queries for safety and compliance. • Utilized advanced open-source tools (Label Studio, Argilla, Doccano) to annotate, review, and export data.