AI Training Data Contributor (Freelance)
As an AI Training Data Contributor, I performed annotation and rating of code solutions for AI coding assistants. I conducted RLHF-style preference ranking for instruction-following tasks and labeled UI screenshots for usability studies. I maintained a high acceptance rate by rigorously following annotation guidelines and self-reviewing batches before submission. • Rated coding solutions for correctness, efficiency, and style across Go, JavaScript, and Rust tasks. • Applied detailed rubrics to over 500 prompt-response pairs using RLHF techniques. • Tagged interactive elements, error states, and design patterns in UI screenshot datasets. • Adhered to quality standards, maintaining over 97% label acceptance across batches.