Academic Program Lead, AI Fellowship

The Program Lead, AI Fellowship owns the curriculum and learning design for Anyone AI's fellowship program. You are responsible for keeping the program aligned with the latest developments in the AI industry and evolving market demand. You own the overall quality of the fellowship, including slides, exercises, projects, and learning materials. You will also help build and maintain a strong instructor network by sourcing candidates, interviewing them, and ensuring their delivery meets the standards of the program.

Responsibilities

Own the fellowship syllabus, including learning objectives, curriculum sequencing, and how individual modules fit together; Oversee the team responsible for designing learning content, including slides, exercises, projects, and supporting materials; Ensure the curriculum stays current with AI industry practices, technological developments, and hiring demand; Set and maintain the quality standard across all learning materials and program experiences; Review learner outcomes and delivery feedback and continuously improve the curriculum; Help source instructors from Anyone AI's network, interview and evaluate candidates, and brief and calibrate instructors; Act as the internal reference for high-quality AI education; Partner closely with program operations to ensure logistics and delivery decisions support the learning experience

Requirements

PhD or equivalent technical depth in AI; Hands-on industry or applied research experience in AI/ML; Experience designing or owning technical curricula for AI/ML fellowships, intensive programs, universities, corporate academies, or equivalent environments; Teaching experience in university courses, fellowships, bootcamps, corporate academies, or similar settings, including lecturing, facilitating, or leading technical cohorts; Experience interviewing or evaluating technical instructors, experts, or educators and maintaining a high standard for delivery; Comfortable working in a dynamic environment with fast iteration and a high degree of ambiguity; PhD in a technical field such as Computer Science, Machine Learning, or a related STEM discipline, or equivalent deep technical expertise in AI; Strong teaching and content-development skills, including creating clear slides, rigorous exercises, and substantive technical projects; Fluent in Spanish and English