AI Fellows (12-month LTE*)

Tags: Global Health language Environment
  • Added Date: Thursday, 04 September 2025
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The Foundation

We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, weโ€™re committed to creating an environment for you to thrive both personally and professionally.

The TeamOur mission is to harness the power of artificial intelligence to bridge the digital divide, with a focus on ensuring AI is deployed ethically and equitably to benefit low- and middle-income countries (LMICs). As large language models continue to advance, we are committed to unlocking AIโ€™s potential to drive innovative development solutions tailored to the needs of LMICs.

Our portfolio of initiatives is wide-rangingโ€”spanning the design of new AI applications for decision support and conversational interventions, as well as advancing technical product development and impact in health, education, and agriculture. Building on the momentum of early proof-of-concept projects, our goal is to ensure that the benefits of AI are inclusive, reaching all segments of society.

Please apply by EOD Friday, September 17 to be considered for the November 2025 cohort.

*Note: This is a 12-month limited term position. Candidates must be able to legally work in the country where this position is located without visa sponsorship.

Your Role

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. Our 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 Gatesโ€™ powerful network, and exposure to senior leadership.

This role offers the unique opportunity to collaborate across multiple divisions within the Foundationโ€”including Global Health (GH), Gender Equality (GE), Global Development (GD), and Global Growth & Opportunity (GGO)โ€”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.

    What Youโ€™ll Do

    Problem Identification & Scoping

    • Identify, frame, and prioritize real-world challenges in collaboration with program teams, ensuring solutions are grounded in user needs and local realities.

      Prototyping & Rapid Experimentation

      • Prototype rapidly with modern LLM and AI tools to test feasibility, generate insights, and create lightweight demos.

      • Document learnings from prototypes and translate them into actionable recommendations for scale or next steps.

        Design and Deliver AI Solutions

        • Design and implement AI/ML models to address challenges in global health, development, agriculture, diagnostics, or education.

        • Conduct rigorous model evaluation and validation, ensuring accuracy, fairness, and real-world applicability.

        • Prepare, curate, and manage datasets, ensuring data integrity, security, and ethical use.

        • Develop high-quality, reliable software, applying strong engineering practices such as clean code, version control, and robust testing.

        • Leverage large language models (LLMs), including deployment, fine-tuning, and adaptation to specific use cases.

          Teaching & Capacity Building

          • Develop and deliver workshops, guides, and playbooks to enable Foundation staff and partners to use LLM tools effectively in their own work.

          • Mentor program teams and local partners in applying AI responsibly, with a focus on usability and adoption in LMIC contexts.

            Collaborate Across Teams and Partners

            • Apply interdisciplinary problem-solving skills to translate AI research into practical solutions across multiple domains.

            • Communicate technical concepts effectively to both technical and non-technical stakeholders, enabling shared understanding and informed decision-making.

            • Collaborate with cross-functional teams across disciplines and geographies to co-design and deliver impactful solutions.

            • Facilitate workshops and training sessions to demystify AI tools, enabling teams to directly apply solutions to their workflows.

              Advance Responsible and Ethical AI

              • Embed equity, bias mitigation, and data privacy in all technical approaches.

              • Ensure prototypes are designed with explainability in mind, making them accessible to non-technical stakeholders.

              • Align AI solutions with the Foundationโ€™s mission and global health and development goals.

              • Share thought leadership by integrating prior academic, research, or professional experiences to advance the responsible and impactful use of AI.

                Your Experience

                We are looking for fellows who represent a balance of technical competence and alignment with Foundation values.

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