Data Labeling Analyst II (12/2024 - Present)
ClassificationProvided expert labeling and quality assurance for complex clinical datasets to improve AI model training accuracy for EHR and clinical notes. Applied medical coding standards and clinical judgment to interpret ambiguous healthcare records and enhance model reliability. Collaborated asynchronously to meet strict annotation guidelines while continuously refining work based on feedback. • Labeled EHR records and clinical notes with adherence to ICD, CPT, and SNOMED standards. • Performed QA passes and consistency checks to reduce annotation errors and improve clinical prediction performance. • Resolved ambiguous or edge-case data using clinical judgment to improve interpretability. • Automated data quality validation using Python, improving workflow efficiency and minimizing human error.