AI Data Annotation & Review Practice — Remote/Online Projects
Performed remote video/action annotation review using dense labeling rules and guideline-based corrections. Applied timestamp accuracy requirements to keep action segments short, clear, and aligned with visible hand-object interactions. Validated annotation quality by checking label consistency, object accuracy, timing errors, repeated actions, and compliance with project instructions. • Reviewed and corrected video/action annotation segments • Ensured timestamp accuracy and segment alignment • Verified label consistency and object correctness • Conducted guideline compliance checks