Remote Medical Expert role designing clinical scenarios and evaluating AI systems for healthcare reasoning and patient care.
Healthcare Professional (AI Training & Annotation)
Job description
Role Overview
We are seeking experienced Healthcare Professionals to contribute to AI training by analyzing complex medical content and generating high-quality, expert-level questions.
In this role, you will apply your clinical and scientific knowledge to evaluate visual healthcare data and create challenging tasks that test deep domain expertise. Your work will directly support the development of advanced AI systems in healthcare.
Key Responsibilities
- Analyze and annotate medical images and videos across multiple healthcare domains
- Develop high-quality, expert-level questions based on clinical and scientific content
- Tag and categorize tasks for accurate routing and evaluation
- Collaborate with other healthcare experts to ensure quality and accuracy
- Refine outputs based on peer feedback and performance metrics
- Maintain precision and consistency in all annotations
- Stay updated with developments across healthcare disciplines
Required Skills & Qualifications
- Strong expertise across healthcare domains including:
- Clinical practice
- Anatomy & physiology
- Public health & epidemiology
- Immunology & pharmacology
- Infectious diseases & virology
- Advanced analytical and critical thinking skills
- Experience interpreting complex medical or scientific data
- Strong attention to detail and accuracy
- Ability to work independently in remote environments
- Strong organizational and categorization skills
Preferred Qualifications
- Experience in medical education, assessment design, or question writing
- Research or publication background in healthcare fields
- Familiarity with annotation tools or AI-related workflows
Work Details
- Fully remote
- Contractor engagement
- Work on AI training and healthcare data annotation
Additional Notes
- High-impact role contributing to healthcare AI systems
- Opportunity to apply multidisciplinary medical knowledge
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