We are sharing a specialised part-time consulting opportunity for licensed physicians with direct experience in Rwanda or comparable low- and middle-income country (LMIC) primary-care settings.
This role supports the development and validation of clinical AI systems aligned with the Rwanda Standard Treatment Guidelines (STG), with a focus on real-world primary-care workflows, public health constraints, and guideline-based clinical decision-making.
Selected professionals will contribute clinical expertise grounded in frontline practice, helping ensure that AI systems reflect appropriate diagnosis, treatment logic, formulary awareness, referral thresholds, and care delivery realities in Rwanda or similar LMIC environments.
Key Responsibilities
Professionals in this role may contribute to:
Clinical Guideline Alignment & Validation
Support the development and validation of clinical AI systems aligned with the Rwanda Standard Treatment Guidelines
Apply practical knowledge of WHO IMCI protocols and the Rwanda National Formulary in structured project work
Help ensure that model outputs reflect appropriate primary-care decision-making in LMIC clinical environments
Primary-Care Expertise & Case Review
Contribute expertise drawn from direct work at health-center and/or district hospital level
Support evaluation of clinical reasoning across high-burden primary-care conditions such as malaria, pneumonia, diarrheal disease, maternal health, and chronic disease
Apply real-world knowledge of supply constraints, treatment limitations, and referral thresholds in Rwanda's public health system
Documentation, Review & Domain Support
Provide domain expertise for projects involving clinical documentation, guideline interpretation, or case review workflows
Support structured review and validation of medically relevant content
Apply practical frontline knowledge to improve the accuracy and contextual relevance of clinical AI systems
Ideal Profile
Strong candidates may have:
Licensed physician status with MBBS, MD, or equivalent qualification
3+ years of practice experience in Rwanda or comparable LMIC primary-care settings
Direct experience working at the health-center and/or district hospital level
Strong working knowledge of the Rwanda Standard Treatment Guidelines
Strong Working Knowledge Of WHO IMCI Protocols
Familiarity with the Rwanda National Formulary
Experience managing high-burden primary-care conditions including malaria, pneumonia, diarrheal disease, maternal health, and chronic disease
Familiarity with real-world supply constraints and referral thresholds in Rwanda's public health system
Preferred Qualifications
Prior experience reviewing clinical documentation, guidelines, or case audits
Strong familiarity with structured primary-care decision-making in public health settings
Ability to apply clinical reasoning within resource-constrained care environments
Why This Opportunity
Contribute specialised clinical expertise to a high-impact AI healthcare initiative
Help improve how clinical AI systems reflect real-world primary-care practice in Rwanda and comparable LMIC settings
Support guideline-based model development with frontline physician insight
Flexible remote work with potential transition into hourly compensation based on performance
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Project will initially begin as a task-based engagement
Compensation may later transition to an hourly model of $15–$25 per hour based on performance and project needs
Please note: although the listing may display $15–$25/hour, the project will start as task-based work
Projects may be extended, shortened, or concluded early depending on project needs and performance
Weekly payments via Stripe or Wise
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
Start date: Immediate
About The Platform
This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.
Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific professional knowledge.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy