AI Data Annotator (Remote) – Remotasks
As an AI Data Annotator at Remotasks, I performed structured data annotation and labeling for AI model training datasets. My responsibilities included evaluating AI-generated outputs for logical consistency, accuracy, and guideline compliance. I applied detailed annotation rules to ensure high-quality training data and identified edge cases and inconsistencies to improve dataset reliability. • Performed data labeling on remote task-based platforms • Maintained high accuracy and productivity throughout the project • Supported improvements in dataset quality by flagging inconsistencies • Ensured all work met strict guideline requirements.