Data Annotation Specialist (AI Data Quality) at Apella
Served as a Data Annotation Specialist for AI Data Quality work, focusing on improving surgical model performance through high-accuracy annotations. Labeled large volumes of weekly training data to support machine learning model development and internal quality assurance. Identified edge cases and inconsistencies in outputs, then supported SOP refinements to improve labeling accuracy and consistency across workflows. • Annotated 350+ surgical videos and images weekly for ML training datasets. • Achieved 95%+ annotation accuracy on surgical model data. • Flagged gaps in SOPs and recurring anomalies for team review and updates. • Monitored annotation trends to detect issues impacting model outputs.