Data Labeller (Video Data Annotator) | Atlas | Remote
Reviewed, edited, and refined AI-generated annotations across video tasks to improve dataset reliability. Corrected timestamp alignment and action labels while ensuring object interaction labels matched the provided guidelines. Performed quality assurance checks to maintain consistency and accuracy across large batches of data. • Followed detailed annotation guidelines for each task • Resolved ambiguities with project teams to improve label quality • Maintained annotation consistency for high-accuracy outputs • Collaborated remotely in a deadline-driven workflow