Medical AI evaluation & annotation (remote medical AI/LLM evaluation/quality review focus)
Provided medical AI evaluation and annotation in a remote telemedicine/medical AI context, leveraging clinical reasoning to support model or dataset quality. Interpreted clinical information to validate outputs and support evidence-based decision-making. Focused on quality assurance and clinical review to ensure medical accuracy and consistency. • Evaluated medical AI outputs for correctness against clinical reasoning • Annotated/validated medical information for downstream use • Performed quality review aligned with evidence-based medicine • Applied patient-care documentation practices to support labeling quality
2026 - Present