What You’ll Do
Depending on the project, you may:
- Review and validate medical data or imaging annotations
- Provide domain expertise to improve AI models for diagnostic accuracy
- Help design or review training materials for medical labeling teams
- Contribute to quality assurance or expert validation activities
Requirements
- We welcome applications from medical professionals worldwide, across all experience levels — from residents and fellows to senior consultants and academic experts — who are passionate about the intersection of medicine and technology.
We’re particularly interested in professionals who have:
- A recognized medical degree (MD, DO, MBBS, or equivalent) or are currently completing one
- Board certification in Pathology, Radiology, or Cardiology (active, previous or in progress)
- Experience in clinical practice, diagnostics, or medical education
- Familiarity with digital health tools, AI applications, or medical data annotation (a plus, not required)
Salary: Discuss During Interview
Education: Diploma, High/Secondary School
Employment Type: Full Time