We are a Data & AI training start-up based in Sydney with one altruistic mission: to help people land their job.

We all know getting your first tech job in Australia is difficult. Sydney ranks 17th as the hardest place to get a job. Melbourne ranks 26th.

We've developed a unique talent incubation program designed to help individuals transition into tech roles through Data & AI. Since soft-launching in 2021, we've graduated 500+ students in Data Analytics, many landing roles at big and small Australian companies.

We've since extended this into AI Engineering - helping learners become certified AI professionals through Microsoft's AI-103 (Azure AI Engineer Associate) pathway. 60+ students have already gone through the program and are now applying these skills to build real MVPs and POCs.

WHY THIS ROLE MATTERS?

We're seeking an AI Engineering Lead Instructor to help deliver a hands-on learning experience aligned with Microsoft's newly launched AI-103 (Azure AI Apps and Agents Developer Associate) pathway - the successor to AI-102, built around agentic AI, generative solutions, and Microsoft Foundry. As one of the early training providers building curriculum around this certification, the instructor will bridge the gap between fast-evolving theory, certification, and real employability.

WHAT WILL YOU DO?

- Deliver a curriculum aligned with Microsoft's AI-103 (Azure AI Apps and Agents Developer)



study guide, covering all relevant Azure AI services and ecosystem components required for AI solution design and implementation.
- Equip students with practical and exam-oriented skills in Azure AI services. Demo-based teaching using Azure Portal & CLI
- Run mock exams simulating AI103 towards the end of the course.
- Conduct weekly live classes, workshops, and code reviews.
- Provide 1:1 feedback on case studies for respective AI-103 topics.

WHAT ARE WE LOOKING FOR?

- Microsoft AI-102 Certified (or actively working towards AI-103)
- 5+ years of Australian AI/ML engineering experience
- Deep understanding of AI Engineering concepts
- Proven teaching or mentoring experience (bootcamps, workshops, universities)
- Excellent communication, empathy, and ability to simplify complexity
- Must reside in Australia with full working rights
- Contribute to a mission that changes lives
- 100% remote and flexible - no commute, no office
- Teach part-time outside of regular working hours
- Earn competitive pay while maintaining work-life balance
- Be part of a fast-growing EdTech community

Role format:

- Part time; outside of the normal working hours
- A course is usually 8-9 weeks long (1 live session per week)
- A typical class size is around 10 to 15 students

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📌 AI Engineering Lead Instructor (New South Wales)
🏢 The Data Analytics Institute
📍 New South Wales