Deadline: September 19, 2025
Applications are open for the Gates Foundation AI Fellows Program 2025. The AI Fellows Program at the Gates Foundation is designed to accelerate the responsible and impactful use of AI in global health, development, and education. The goal is to attract top-tier, mission-aligned AI talent to drive innovation in these areas. As a Gates AI Fellow, you will join a prestigious cohort applying AI for public good and gain career-defining experience, access to Gates’ powerful network, and exposure to senior leadership.
This role offers the unique opportunity to collaborate across multiple divisions within the Foundation—including Global Health (GH), Gender Equality (GE), Global Development (GD), and Global Growth & Opportunity (GGO)—all of which are leveraging AI to accelerate progress toward their strategic goals and objectives.
Over the course of 12 months, each AI Fellow will be assigned to high-priority projects, embedded within Strategic Initiatives or relevant Programmatic Strategy Teams (PSTs). Sample project areas will include:
- Developing agent-based data tools and dashboards (e.g., periodic AI-generated insights).
- Building AI-powered prediction models for simple diagnostics.
- Designing and running lightweight A/B tests to validate concepts quickly.
- Building chatbots and interactive prototypes for pre-field assessment.
- Pressure-testing or adapting tools developed by Foundation partners and grantees for usability and adoption.
- Embedding AI agents in flagship Foundation databases or workflows.
Compensation
- The fellowship offers a starting salary of $148,920–$162,350, depending on work location. To ensure equity, all AI Fellows receive the same compensation within this structure.
Eligibility
- Candidates must hold a bachelor’s or master’s degree (in Computer Science, Data Science, Engineering, Applied Math or relevant field).
- Proficiency in ML/AI modeling, software engineering, model evaluation, LLM deployment, and data wrangling, with evidence of applied coursework, research, internships, or early professional experience.
- Demonstrated interest in applying AI to fields such as health systems, agriculture, diagnostics, or education, with enthusiasm and literacy to use modern AI tools safely and pragmatically (direct AI research experience not required).
- Strong teamwork and adaptability, with experience working cross-functionally in complex environments.
- Demonstrated ability to clearly articulate technical concepts and recommendations to both technical and non-technical audiences.
- Deep motivation to apply AI responsibly for public good, with alignment to equitable development and global health impact.
- Hands-on experience building prototypes with LLMs (e.g., using open-source tools or API-based platforms) and a willingness to share learnings openly. Ability to teach and enable others, not just deliver technical outputs.
Application
For more information, visit Gates Foundation AI Fellows Program.
