Data Annotation & Labeling Associate (Remote) — Project-Based
Reviewed and labeled text, image, and conversational datasets according to project guidelines to support AI model training and improve data accuracy. Performed quality checks on annotated datasets to detect labeling errors, duplicates, and incomplete records prior to submission. Compared annotation outputs against project instructions to ensure compliance with formatting and accuracy requirements. • Labeled data across text, image, and conversational formats • Categorized records into structured classes while maintaining consistency • Flagged unclear or conflicting data points for clarification • Maintained tracking sheets for completed tasks, revisions, and dataset updates