About the Role
This role involves contributing medical expertise to train and refine AI models by evaluating clinical scenarios, validating responses, and ensuring accuracy in healthcare-related AI applications.
Responsibilities
- Review and assess AI-generated medical content for clinical accuracy
- Provide feedback on diagnostic reasoning and treatment suggestions
- Validate responses to patient inquiries based on current medical guidelines
- Identify inaccuracies or gaps in AI understanding of medical conditions
- Assist in developing realistic clinical case simulations
- Ensure compliance with UK healthcare standards and practices
- Collaborate with AI developers to improve system performance
- Evaluate AI behavior in hypothetical patient scenarios
- Flag potential safety or ethical concerns in AI outputs
- Contribute to training datasets with real-world medical knowledge
Nice to Have
- Postgraduate medical qualifications
- Experience in medical education or training
- Exposure to health technology or AI applications in medicine
- Previous work with clinical decision support systems
- Publication record in medical journals
- Teaching experience in clinical settings
- Familiarity with NICE guidelines
- Involvement in quality improvement projects
Compensation
Hourly rate commensurate with experience
Work Arrangement
Remote
Team
Collaborative freelance project team
Project Duration
Flexible freelance engagement with initial assignments lasting 3–6 months
Time Commitment
Approximately 10–15 hours per week, adjustable based on availability
Onboarding Process
Includes training on AI evaluation tools and data security protocols
Confidentiality
All work requires adherence to strict confidentiality and data protection standards
Not applicable
