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)
• Strong attention to detail, ethical integrity, and a desire to make a global impact
• Fluency in English

Why You’ll Love Working With Us

Community Connection: Be part of a company culture that values giving back, creating a sense of purpose and belonging.

Global, Purpose-Driven Team: Join a diverse, inclusive team where collaboration, shared ideas, and a mission to transform lives drive meaningful impact and innovation.

• Opportunities to collaborate on impactful global AI projects
• Flexible engagement models (part-time, contract, or project-based)
• The chance to use your expertise to improve healthcare outcomes through technology

• 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

• Strong attention to detail
• Ethical integrity
• Desire to make a global impact
• Fluency in English
• Familiarity with digital health tools, AI applications, or medical data annotation (a plus, not required)

• 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