Data annotation
I’ve worked on several data labeling projects across natural language processing (NLP) and computer vision domains. Some examples include: Chatbot Training (NLP): Annotated and categorized user intents, responses, and sentiment to train conversational AI models, ensuring consistency and accuracy across dialogue flows. Content Moderation: Labeled text and image data for policy violations using custom guidelines to support automated content filtering and platform safety. Image Classification: Tagged large volumes of product and object images for retail datasets, focusing on bounding box annotation and attribute tagging. Search Relevance (Rater Projects): Rated search results and evaluated prompt-response quality for LLM-based systems to improve response accuracy and safety. These projects helped improve model performance and gave me deep familiarity with annotation tools, quality checks, and guideline refinement.