Academic Program Lead, AI Fellowship

Academic Program Lead, AI Fellowship Location: Remote — LatAm / US

Role Overview

• 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.
• A PhD or equivalent technical depth in AI is required , ideally combined with hands-on industry or applied research experience, so that the fellowship reflects how AI is actually practiced today.

Responsibilities

• Curriculum & Learning Design Own the fellowship syllabus, including learning objectives, curriculum sequencing, and how individual modules fit together to produce meaningful, practical skill development.
• Industry-Aligned Content 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.
• Program Quality Set and maintain the quality standard across all learning materials and program experiences.
• Review learner outcomes and delivery feedback and continuously improve the curriculum based on those signals.
• Instructor Network Help source instructors from Anyone AI’s network, interview and evaluate candidates, and brief and calibrate instructors so classroom delivery consistently meets the curriculum standard.
• Technical & Academic Leadership Act as the internal reference for what high-quality AI education should look like.
• Partner closely with program operations to ensure logistics and delivery decisions support—not dilute—the learning experience.
• Experience 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.
• Hands-on AI/ML experience in industry or applied research.
• 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.

Qualifications

PhD in a technical field such as Computer Science, Machine Learning, or a related STEM discipline, or equivalent deep technical expertise in AI. Proven hands-on experience working with AI/ML, preferably in industry. Strong teaching and content-development skills, including the ability to create clear slides, rigorous exercises, and substantive technical projects. Fluent in Spanish and English .