Data Annotator (AI Evaluation Project) at Appen (remote)
Annotated datasets for AI/ML training and evaluation, ensuring outputs followed project guidelines. Performed checks for data accuracy and consistency, reporting ambiguities and inconsistencies found during review. Applied judgment to label complex content appropriately for model training. Maintained required quality thresholds in remote, project-based work. • Labeled AI/ML training and evaluation datasets • Ensured accuracy, consistency, and guideline adherence • Identified and reported ambiguities/inconsistencies • Applied judgment for complex labeling