Academic Program Lead, AI Fellowship

Anyone AI Inc.; United States; Remote; MXN 1,662,000 - 2,770,000; Full time

Job summary

Anyone AI Inc. seeks a Program Lead for its AI Fellowship to own curriculum and learning design, ensuring alignment with the latest AI industry developments and market demand.

You will oversee slides, exercises, projects, and learning materials while building an instructor network and ensuring delivery meets curriculum standards in a dynamic environment. A PhD or equivalent depth in AI is required, ideally with hands-on industry or applied research experience, so the fellowship reflects current

Qualifications

• Designing or owning technical curricula for AI/ML fellowships or similar programs.
• Experience teaching in university courses, fellowships, bootcamps, or corporate academies.
• Hands-on AI/ML industry or applied research experience.
• Experience interviewing or evaluating technical instructors and maintaining high standards.

Responsibilities

• Curriculum & Learning Design: Own the fellowship syllabus, objectives, sequencing, and module integration.
• Industry-Aligned Content: Oversee slides, exercises, projects, and supporting materials to stay current.
• Program Quality: Set quality standards and improve curriculum based on learner outcomes and feedback.
• Instructor Network: Source instructors, interview candidates, and calibrate delivery to standards.
• Technical & Academic Leadership: Act as internal reference for high-quality AI education.

Skills

Curriculum design

Teaching

AI/ML experience

Instructors interviewing

Education

PhD in Computer Science / ML or related AI field

Job description

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.