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Data Annotation Tech
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DocumentFreelance Medical & General Content Evaluator. Brings 18+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science in Medical Education, N/A (2024) and Doctor of Medicine, N/A (2008). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.
Evaluating the quality and safety of multi-model responses to clinician user prompts on Projects Watt and Ohm
Evaluate quality and safety of AI model responses to clinician user prompts and/or medical record data
I performed structured annotation and evaluation of medical and general-domain text to support AI model training and refinement. I applied clinical judgment to assess accuracy, safety, relevance, and clarity of medical information within rubric-based workflows. I used detailed rubrics and internal guidelines to ensure consistent, reliable, and high-quality output for AI alignment. • Conducted structured evaluation of AI-generated medical content • Delivered actionable feedback on accuracy, clarity, and safety • Supported human-in-the-loop quality assurance for AI training • Translated clinical reasoning into actionable guidance for technical teams
Master of Science in Medical Education, Medical Education
Doctor of Medicine, Medicine
Physician Medical Affairs Consultant
Family Physician & Residency Faculty
