Data Specialist — AI Data Annotation (Remote)
Evaluated AI-generated images and applied labeling conventions to flag visual artifacts and inconsistencies. Scored AI image edits across three independent quality dimensions, keeping rating criteria strictly separated. Maintained accurate, well-justified records while validating large volumes of labeled data against established guidelines. •Labeled visual “tells” using dot-placement and captioning conventions•Rated instruction alignment, pixel alignment, and artifact presence•Identified discrepancies and corrected errors per project guidelines•Validated large volumes of data for accuracy and consistency