The work
You will help assess and improve how AI systems handle clinical problems. The work combines your medical expertise with practical evaluation of AI reasoning and decision-making.
You will create realistic clinical cases, design structured ways to assess medical AI, and work with AI researchers to identify gaps in medical knowledge and reasoning.
- Design evaluation frameworks for medical AI systems.
- Create clinical scenarios that test reasoning and clinical decision-making.
- Develop assessments that reflect the complexity of real clinical practice.
- Identify weaknesses in AI medical knowledge and reasoning.
- Collaborate with AI researchers to improve model performance.
What it pays and takes
The listing does not provide a pay rate. This is a part-time contractor engagement for at least 20 hours per week.
- Pay: Not specified in the listing.
- Time: 20+ hours per week.
- Location: Remote and open worldwide.
- Language: English.
- Required: An active license as a physician and current clinical practice.
- Required: Experience with clinical decision-making and evidence-based medicine.
- Required: Strong analytical, communication, critical-thinking, and problem-solving skills.
- Preferred background: Pediatrics, emergency medicine, obstetrics and gynecology, gynecologic oncology, public health, or another clinical specialty.
- Interest in applying AI to clinical practice.
Engagement details
This is a remote freelance engagement with flexible scheduling around your clinical commitments. The initial engagement lasts one month, with possible extensions based on performance and fit.
- Work arrangement: Remote freelance contract.
- Schedule: Flexible around clinical commitments.
- Initial term: One month.
- Extensions: Potentially available based on performance and fit.
How it works
You apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training is the human work used to improve systems such as clinical AI, including creating examples and judging model responses. Experienced professionals are needed because accurate evaluations depend on real subject-matter knowledge and careful reasoning.