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Visiting Lecturer – AI Tools, Generative AI & Emerging Technologies

Inspire Collegelinkedin.com
Oct 3, 2026, 1:48 PM3w ago
Part-timeColombo District, Western Province · RemoteAI engineering

About the role

Inspire College is seeking part-time Visiting Lecturers for its online AI Mastery programme, aimed at professionals looking to apply Artificial Intelligence and Generative AI in business contexts. The role involves delivering engaging, practical online sessions, translating AI concepts into accessible learning for non-technical and semi-technical professionals, and supporting learners through interactive teaching, assessment, and capstone project guidance. Applicants should have strong practical AI knowledge, hands-on experience with AI tools, and the ability to communicate complex ideas clearly. The position is session-based, with weekend delivery, and lecturers will teach modules aligned with their expertise.

Must have

  • Bachelor's degree or higher in Artificial Intelligence, Computer Science, Information Technology, Data Science, Business, Engineering, Digital Transformation, or a related discipline OR equivalent professional expertise and industry experience in AI and related technologies.
  • Demonstrated practical experience applying AI, Generative AI, or related technologies in a professional, business, consulting, training, or academic environment.

Nice to have

  • Previous teaching, training, facilitation, corporate learning, or professional development experience is preferred.
  • Experience delivering online training, workshops, CPD programmes, or professional learning sessions will be an added advantage.
  • Relevant professional certifications in AI, data, technology, digital transformation, or related areas will be an advantage.

Technologies

  • Canva
  • ChatGPT
  • Claude
  • Data Science
  • Gemini
  • Generative AI
  • LLM
  • Prompt Engineering
  • Responsible AI

Highlights

The role is fully online and delivered on weekends as part of a three-month CPD programme. Engagement is session-based, depending on module allocation. Applicants should submit a CV/profile highlighting relevant expertise and experience. Shortlisted candidates may be invited for a discussion or demonstration session.