Evaluate AI-generated healthcare operations reports, workflow analyses, process improvement plans, and operational strategies using professional healthcare management and clinical operations expertise.
Clinical Medicine AI Specialist
Job description
About the Role
We are seeking a Clinical Medicine AI Specialist to support the training and evaluation of AI systems used in clinical reasoning, diagnostics, and patient-facing healthcare applications.
In this role, you will apply your clinical expertise to improve the accuracy, safety, and reliability of AI-generated medical outputs.
Key Responsibilities
- Review AI-generated clinical summaries (patient histories, reports, case discussions)
- Annotate clinical cases, symptoms, and differential diagnoses
- Evaluate AI diagnostic and triage recommendations
- Provide guideline-based feedback on treatment plans
- Build and validate medical knowledge graphs (diseases, drugs, procedures, codes)
Requirements
- Medical degree (MD, MBBS, or equivalent) or advanced biomedical degree
- Clinical experience in hospital, clinic, or academic setting
- Strong knowledge of medical terminology (ICD-10/11, SNOMED CT, LOINC)
- Understanding of evidence-based medicine and clinical guidelines
- Strong analytical and critical reasoning skills
- Attention to detail and commitment to clinical accuracy
Preferred Qualifications
- Board certification or medical specialization (e.g., internal medicine, radiology, oncology)
- Experience with AI, medical data annotation, or clinical informatics
- Experience working with structured medical datasets
Work Details
- Work Type: Fully remote
- Engagement: Contractor / Freelance
- Schedule: Flexible
About the Opportunity
This role focuses on improving clinical AI systems by combining real-world medical expertise with structured evaluation and data annotation to enhance diagnostic accuracy and patient safety.
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