Program Lead, AI Fellowship

Anyone AI Inc.; Argentina; Remote; ARS 136,863,000 - 197,692,000; Full time

Job summary

Anyone AI Inc. seeks a Program Lead for the AI Fellowship to own the curriculum and learning design, ensuring the program stays current with AI industry practices and hiring demand.

You will build and manage an instructor network, calibrate delivery to meet curriculum standards, and guide instructional excellence across modules and projects. The role emphasizes leadership in technical education, collaboration with operations, and hands-on AI/ML relevance, with remote work across LatAm and US

Qualifications

• Proven track record of designing or owning technical curricula for AI/ML fellowships or equivalent programs.
• Hands-on AI/ML experience in industry or research.
• Strong content development, slide creation, and project design skills.
• Fluency in Spanish and English.

Responsibilities

• Own the fellowship syllabus, including learning objectives, sequencing, and module integration to deliver practical skills.
• Oversee content design team for slides, exercises, projects, and supporting materials; ensure alignment with AI industry practices and hiring demand.
• Set and maintain quality standards across all learning materials and experiences; review learner outcomes and feedback to drive curriculum improvements.
• Source and calibrate instructors from Anyone AI’s network; interview candidates and ensure delivery meets curriculum standards.
• Act as the internal reference for high-quality AI education; collaborate with operations to ensure logistics support the learning experience.

Skills

Curriculum design

Learning design

Teaching

Instructor network

Spanish fluency

English fluency

Education

PhD in technical field (CS/ML)

Job description

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.