Data Annotator and Labeler, Atlas Capture
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ClassificationResponsible for executing high-volume data annotation and labeling tasks while strictly adhering to detailed annotation guidelines and quality standards. Applies critical reading and analytical skills to interpret complex annotation protocols and transform multi-step requirements into repeatable workflows. Supports AI model training by generating diverse, realistic scenarios and edge cases to ensure contextually appropriate annotations across varied datasets. • Maintains 98%+ accuracy through guideline compliance and QA checks. • Breaks down multi-step annotation protocols into consistent execution workflows. • Produces edge cases and realistic scenarios for training dataset enrichment. • Works independently in a remote environment while meeting deadlines amid evolving guidelines.