AI Data Annotator / AI Trainer – Turing (contract)
As an AI Data Annotator and AI Trainer, I performed annotation and review tasks across multiple data types, including text, images, audio, video, documents, and code. I labeled, structured, and categorized datasets to improve AI model training quality and consistency. My work included quality checking, guideline adherence, dataset cleaning, prompt writing, and AI output evaluation. • Conducted RLHF and evaluation of model-generated responses using relevance and correctness criteria. • Used tools such as Label Studio, Excel, Google Sheets, Jira, Notion, ChatGPT, Claude, and Gemini for annotation, collaboration, and process management. • Applied classification, NER, and structured tagging across diverse content domains, including coding, mathematics, and reasoning tasks. • Supported content moderation and reviewed edge cases while maintaining high annotation and prompt evaluation standards.