Academic Program Lead, AI Fellowship

Role overview Lead the curriculum and learning design for an AI fellowship, shaping a coherent program that builds practical skills and reflects current industry needs. You’ll oversee the quality of learning materials and learner experiences, while building an instructor network that can deliver the curriculum consistently. The role calls for both deep technical understanding of AI and a strong record of teaching or technical education.

Responsibilities - Own the fellowship syllabus, including learning goals, module order, and how topics build toward practical skills. - Guide the creation of slides, exercises, projects, and supporting materials, keeping them current with AI practice, technology developments, and hiring demand. - Set quality standards for the curriculum and program experience; use learner outcomes and delivery feedback to improve them. - Find and evaluate prospective instructors, then brief and calibrate them to support consistent teaching. - Serve as a technical and academic reference for the program’s AI education approach. - Work with program operations so delivery and logistics support the learning experience.

Requirements - A PhD in a technical field such as computer science or machine learning, or equivalent depth of expertise in AI. - Hands-on AI or machine learning experience, ideally in industry or applied research. - Experience designing or owning technical curricula for a fellowship, university, bootcamp, corporate academy, or similar program. - Teaching experience, such as lecturing, facilitating, or leading technical cohorts. - Strong content development skills, including creating clear slides, rigorous exercises, and substantive technical projects. - Experience evaluating technical instructors or educators; fluency in Spanish and English; comfort with fast iteration and ambiguity.

Benefits and work setup - Remote role, with the listed location spanning Latin America and the United States.