[What the role is]
We're looking for professionals who can teach students how to think alongside AI tools, not just how to use them.[What you will be working on]
You'll teach during office hours (pre-employment students) or evenings (adult learners), adapting your approach for different experience levels—from school leavers to career-switchers with 10+ years in other fields.
Assessing Real Understanding by evaluating how learners approach ambiguous problems, justify analytical choices, and recognise when AI suggestions need human override. We care more about their thinking process than their final outputs.
Drawing on Recent Experience to contextualise concepts. When explaining data cleaning, you'll reference actual workplace scenarios. When discussing visualisation choices, you'll share why certain approaches succeed or fail with real stakeholders.
Collaborating with Module Teams to maintain pedagogical consistency while bringing your unique industry perspective. You'll receive curriculum materials, lesson plans, and assessment templates, but we value your professional judgment in adapting delivery.
[What we are looking for]
Technical Comfort: You don't need to be an expert in every tool we teach, but you should be confident picking up new platforms quickly and understanding data workflows end-to-end. You've worked with business intelligence tools, understand visualisation principles beyond "make it pretty," and can troubleshoot when things don't work as expected.
Teaching Capability: Experience explaining technical concepts to non-technical audiences. This might be formal training, mentoring junior colleagues, presenting to executives, or running client workshops. You instinctively translate jargon and use analogies that land.