Senior AI trainer
The project I contributed to involved defining and executing high-precision data labeling efforts as a foundational phase to support clinically reliable diagnostic and predictive models, while ensuring strict adherence to regulatory standards (HIPAA, GDPR, FDA SaMD guidelines) and patient safety priorities; this included managing annotation tasks across key modalities such as bounding box, polygon, and pixel-level semantic segmentation on medical imaging (X-ray, CT, MRI, pathology slides) for tumor/lesion detection, organ segmentation, landmark placement, and severity grading; named entity recognition, relation extraction, assertion detection, and ICD-10/CPT coding in unstructured EHR/clinical text for phenotyping and risk stratification; temporal event detection, segmentation, and classification in physiological signals (ECG, EEG, PPG) for arrhythmia or seizure identification; phase boundary labeling, tool tracking, and action recognition in surgical video