Applied AI Course Author

TripleTen•Boston, MA
•Remote

About The Position

TripleTen is seeking an experienced Applied AI Course Author to design and develop a graduate-level online program in Applied Artificial Intelligence in partnership with a US university. The program is for working professionals in areas such as marketing, operations, finance, and HR, and teaches them to evaluate, build, integrate, deploy, and govern AI solutions using modern no-code and low-code tools. The author will turn approved syllabi into engaging, rigorous learning materials and help learners make sound, defensible decisions about AI. This is a part-time, project-based collaboration for subject matter experts interested in teaching, curriculum design, and learner success. The work includes developing lessons and practical learning activities, designing assessments, creating supporting materials, consulting on Applied AI questions, and updating content as tools and regulations change. Content will be reviewed by faculty at the partner university and must meet graduate-level academic standards. Project details are shared after signing an NDA. Applicants must submit a resume or CV in English and complete a test assignment after the Online Introductory Call.

Requirements

  • At least 5 years of recent professional experience in applied AI/ML, data, AI automation, or a related field, including hands-on experience with LLMs.
  • A master’s degree or PhD in a relevant field, or at least 10 years of senior professional experience in AI or a related industry.
  • Practical knowledge of AI tools and workflows, including prompt engineering, RAG, AI agents, automation, APIs, and LLM evaluation.
  • Experience applying AI to real business problems while considering business value, cost, risk, and reliability.
  • Experience teaching, mentoring, or creating educational content, with the ability to explain complex concepts to non-technical audiences.
  • Strong English communication skills (C1 or higher), including clear professional and educational writing.
  • Strong organizational and collaboration skills, including the ability to work proactively, incorporate feedback, and meet agreed deadlines.

Nice To Haves

  • Experience designing courses or learning materials for higher education or online programs.
  • Familiarity with AI strategy, business cases, or responsible AI practices or governance.
  • Experience with EdTech or learning platforms, or contributions to the AI community through publications, talks, or open-source projects.

Responsibilities

  • Develop graduate-level Applied AI course content based on approved syllabi, including guided lessons, hands-on labs, case studies, weekly assignments, and final projects, primarily in text and video formats.
  • Write assignment briefs and analytic rubrics for graded work, specifying when and how students may use AI tools.
  • Design practical labs using current AI platforms, including LLM assistants, RAG applications, workflow automation, AI agents, APIs, and monitoring tools; ensure graded tasks can be completed with free or open-source tools.
  • Curate reading lists of research papers, standards, and vendor documentation, and explain the relevance of each source.
  • Create preparatory non-credit modules for learners without a technical background, a program glossary, templates, and worked examples.
  • Collaborate with the LX designer and student experience team on learning objectives, course structure, and assessment design.
  • Consult on Applied AI-related questions and keep content up to date as tools and regulations change.
  • Revise content based on academic review by the partner university’s faculty and ensure it meets graduate-level academic standards.

Benefits

  • Fully remote, part-time collaboration of at least 25 hours per week.
  • Fixed fee per course package, paid in milestones.
  • Opportunity to work with a diverse team across Europe, the US, Latin America, and other regions.
  • Modern digital tools for seamless collaboration.
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