Introduction
The Gates Foundation AI Fellows Program 2027 is a 12-month professional opportunity for people with experience applying artificial intelligence to practical challenges. Based in Africa, the program focuses on using AI to support global health, development, and education. Selected applicants will form the Foundation’s first Africa-based AI Fellows cohort, working with its Africa team, government partners, and other organizations. Applications are open, with a deadline of 11 November 2026.
Scholarship Overview
This opportunity is structured as a professional fellowship, with participants contributing to one or two high-priority projects during their placement. Fellows will work across areas connected to the Foundation’s Global Health, Gender Equality, Global Development, and Global Growth & Opportunity teams. Their work will involve modern AI tools, machine learning models, and large language models, commonly known as LLMs. The emphasis is on developing practical solutions that respond to needs identified with government counterparts and local partners.
Project areas include health systems, public financial management, supply chains, and other development challenges. The fellowship combines technical work with collaboration across organizations and professional disciplines. Applicants should therefore consider both their ability to build AI solutions and their readiness to work with people whose expertise lies outside technology.
Host Institution or Organization
The program is an initiative of the Bill & Melinda Gates Foundation, whose work addresses poverty, disease, and inequality worldwide. Fellows will collaborate with the Foundation’s Africa team while engaging with government counterparts and partner organizations. This setting connects AI development with broader health, policy, and development priorities. Participants will also have access to the Foundation’s international network of partners and professionals.
Scholarship Benefits
The fellowship offers practical experience applying AI and machine learning to development challenges. Participants will receive mentorship from specialists in AI, health, development, and policy. They will also collaborate with government counterparts, nongovernmental organizations, academic institutions, and international organizations. These interactions provide opportunities to strengthen technical judgment alongside communication and teamwork skills.
Fellows will have opportunities to lead important projects and develop solutions with measurable outcomes. The program also supports experience in responsible AI development, including attention to data privacy, fairness, and bias mitigation. Participants can contribute to digital public goods and efforts to improve access to essential services in low- and middle-income countries. Leadership development and knowledge sharing are further elements of the fellowship experience.
Eligibility Criteria
Applicants must hold a bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a relevant field. They must also have at least two years of experience applying AI solutions, preferably within health or agricultural systems. The technical expectations extend beyond familiarity with AI concepts to practical experience developing usable solutions.
- A strong grounding in modern AI and machine learning, including modelling and model evaluation.
- Hands-on experience with LLMs and building prototypes using contemporary AI tools.
- Software engineering and data skills sufficient to develop complete, practical AI solutions.
- Interest in applying AI to health systems, public financial management, supply chains, and logistics.
- Strong teamwork, adaptability, and the ability to collaborate in complex environments.
- The ability to explain technical ideas and recommendations to technical and non-technical audiences.
- A commitment to responsible AI, equitable development, public good, and global health impact.
- Willingness to share knowledge, mentor others, and support AI learning within teams.
Candidates must be legally authorized to work in the country where their position is based. Visa sponsorship and relocation support are not provided. Prospective international applicants should check this condition carefully before preparing an application. Technical qualifications do not replace the work authorization requirement.
Required Documents
The application requirements include an updated CV or resume and a bachelor’s or master’s degree. Candidates must also provide evidence of at least two years of relevant AI experience and demonstrate experience with AI/ML tools and LLMs. Relevant technical and professional experience is another part of the stated requirements. As general preparation, applicants should organize their supporting information so that qualifications and experience are easy to identify.
Application Process
Applications must be submitted through the official Gates Foundation careers portal. Begin by checking the eligibility conditions, particularly the degree, experience, and work authorization requirements. Then review the official job description and responsibilities carefully to understand the position before submitting your materials. Apply through the organizer’s official website before the stated deadline.
As general application practice, review every entry and attachment before completing submission. Check that employment dates, qualifications, and descriptions of technical experience are consistent across your materials. Keeping a copy of your submitted application can help you refer back to the information you supplied.
Important Dates and Deadline
The application deadline for the Gates Foundation AI Fellows Program 2027 is 11 November 2026. Applicants should plan their preparation and submission around this date. As a general precaution, completing the process early allows time to address document or technical problems before the deadline.
Tips for Applicants
As general guidance, compare your experience against the eligibility criteria before investing time in detailed preparation. Identify projects that demonstrate applied AI work, software development, model evaluation, and collaboration. Separate your own contributions from the wider team’s achievements so reviewers can understand your responsibilities. Use accurate descriptions rather than broad claims about expertise.
Choose examples that help explain your interest in public-interest AI applications. Experience connected to health, agriculture, public finance, supply chains, or logistics may help you discuss the program’s stated priorities where relevant to your background. Do not imply that you have sector experience you cannot substantiate. Instead, explain honestly how your existing technical skills relate to the work.
How to Prepare a Strong Application
A useful general approach is to describe technical projects through their problem, method, evaluation, and outcome. For an LLM prototype, explain what you built, why you selected that approach, and how you assessed its usefulness. Discuss limitations honestly, including any privacy, fairness, or reliability considerations you actually addressed. This makes your experience more understandable than simply listing tools.
Your CV can also show how you work with others. Where accurate, include examples of explaining technical findings, adapting to changing needs, mentoring colleagues, or collaborating across disciplines. Use clear language that remains accessible to readers without your technical specialization. Proofread carefully and ensure that every claim can be supported by your experience.
Frequently Asked Questions
How long does the fellowship last?
The fellowship lasts 12 months and is based in Africa. Participants will work on one or two high-priority projects. Their work will involve collaboration with Foundation teams, government counterparts, and local partners.
What qualifications and experience are required?
Applicants need a bachelor’s or master’s degree in one of the listed technical disciplines or a relevant field. At least two years of experience applying AI solutions is required. Candidates also need practical AI/ML, LLM, software engineering, and data skills.
Does the program provide visa sponsorship?
The program does not provide visa sponsorship or relocation support. Candidates must already be legally authorized to work in the country where the position is based. This condition applies alongside the academic and professional eligibility criteria.
Where should candidates apply?
Candidates should apply through the official Gates Foundation careers portal. They should review the official job description and requirements before submission. The application deadline is 11 November 2026.
Conclusion
The Gates Foundation AI Fellows Program 2027 brings applied AI work together with health and development priorities in Africa. It is intended for technically experienced applicants who can collaborate effectively and contribute to responsible innovation. Eligible candidates should prepare evidence of their qualifications and experience, confirm their work authorization, and apply through the official careers portal before the deadline.
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