Global Medical Expert Network (Pathology, Radiology, Cardiology)
Nairobi
Posted 25 July, 2026
Deadline 08 August, 2026
Healthcare and MedicalFull-TimeEntry-level(0-1 yr)
Job Description
CloudFactory is providing an on-demand, digital workforce for scaling critical business processes in the cloud. They are seeking medical professionals globally to join their Global Medical Expert Network across Pathology, Radiology, and Cardiology to help shape and improve medical AI technologies.
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