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5 days ago
This role involves working on fine-tuning large language models using medical knowledge and diagnostic abilities in various fields of medicine. The ideal candidate should have a deep understanding of medical concepts, particularly at the level required for medical school or professional practice.
You will break down complex medical cases into clear, patient-centric explanations and ensure AI outputs meet rigorous standards of accuracy, safety, and empathy.
Day-to-Day Tasks- Diagnostic Analysis: Review complex cases, analyze symptoms, and propose diagnoses with supporting explanations and imaging.
- Medical Pathophysiology: Explain disease mechanisms using diagrams, charts, and simulations.
- Clinical Decision-Making: Manage patient scenarios by interpreting lab results and imaging, and explaining treatment choices.
- Clinical Case Review & Annotation: Analyze multi-turn patient–clinician dialogues covering emergencies, chronic disease management, preventive care, and more. Assign rubric-based scores (e.g., accuracy, triage appropriateness, guideline adherence, empathy) to model responses.
- Quality Assurance & Guidelines Compliance: Ensure all content aligns with up-to-date clinical guidelines (e.g., WHO, NIH, specialty societies). Flag any safety or ethical concerns (e.g., inappropriate triage advice).
- Completed medical school and actively practiced within the last five years.
- Possess strong knowledge of core medical subjects like anatomy, physiology, pathology, pharmacology, and clinical medicine.
- Be able to analyze and solve complex medical problems with a structured approach.
- Explain medical concepts clearly using simple language, visuals, and simulations when needed.
- Strong written and verbal communication skills in English.
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
- Potential for contract extension based on performance and project needs.
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