Evaluate de-identified clinical cases and AI-generated responses to improve the safety, accuracy, and clinical relevance of healthcare AI tools, with a focus on ultrasound-based use cases. This paid, fully remote project is suited to resident or attending physicians who want to apply clinical judgment across a range of medical scenarios. Paid onboarding and project-specific training are provided, and successful participants may be invited to additional clinical AI projects.
Key Responsibilities
- Review de-identified clinical cases and medical questions.
- Evaluate AI-generated clinical responses for accuracy, safety, and relevance.
- Provide medical feedback to strengthen AI performance and clinical reasoning.
- Apply evidence-based judgment across a variety of medical scenarios.
- Complete onboarding, training, and assigned review tasks within project timelines.
Required
- MD or DO degree.
- US-based resident physician at PGY2 or higher, or attending physician.
- Active US medical license.
- Current practice in residency, fellowship, or post-training.
- Strong clinical reasoning and written communication skills.
- Ability to independently review and evaluate clinical content.
Preferred
- Interest in healthcare AI, clinical validation, or technology-enabled care.
- Availability for approximately 8–10 hours per week.
Benefits & Perks
- Fully remote project-based work.
- Paid onboarding and brief project-specific training.
- Potential for ongoing engagement beyond the initial project phase.
- Opportunity to participate in additional paid projects within healthcare and life sciences AI programs.