AI Fellowship Curriculum Lead - Remote (LatAm/US)

Anyone AI Inc.

United States

Remote

MXN 1,662,000 - 2,770,000

Full time

5 days ago
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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

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

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