Data Annotation Specialist (Remote) at Mindrift
Annotated and categorized large datasets, including text and structured data, following strict guidelines. Applied predefined taxonomies to maintain consistency and accuracy across the dataset. Identified and flagged inconsistencies, ambiguities, and errors to improve labeling quality. • Labeled content according to taxonomy and rubric requirements • Performed quality checks by detecting issues and edge cases • Contributed to improved annotation processes with remote collaboration • Supported AI model training through high-quality labeled outputs