Freelance AI Data Annotation & AI Evaluation Specialist (Remote) — OUTLIER AND TELUS
Annotated, categorized, and validated structured datasets used for AI model training and machine learning evaluation workflows. Evaluated text and image datasets against detailed annotation guidelines, project standards, and QA review processes. Performed quality assurance checks to ensure annotation accuracy, consistency, and compliance with evolving requirements across high-volume remote tasks. • Text classification and sentiment evaluation for AI/NLP training datasets • Prompt and response evaluation as part of dataset validation workflows • Detection and correction of inconsistencies, duplicate entries, and classification errors • Spreadsheet-based tracking of progress and task documentation using Google Sheets and Microsoft Excel