Job Description & How to Apply Below
Role type Part-time / Contract
· Online
· Immediate start
Session commitment Minimum 4 sessions per week, weekend compulsory (flexible scheduling)
Student age range 6–18 years (entry cohort: Grades 1–3, ages 6–9)
Remuneration Competitive
· based on session volume and availability
Reports to Head of Curriculum
· Stem Nest Academy
Application Window: This recruitment exercise will remain open for one (1) week / seven (7) days only. Applications will be reviewed on a rolling basis, and STEMNest Academy reserves the right to close the process early upon receiving a strong pool of qualified applicants.
The Role
You will deliver Stem Nest's AI & Automation track in the Mindspire story world — a city where thinking machines and automation systems have stopped making decisions. Every automated process has stalled because the decision rules that powered them have been corrupted. Students must learn how intelligent systems work in order to restore them.
In Grades 1–3, students learn foundational CS through an AI lens: what does it mean for a machine to 'think'? What is the difference between a rule-based system and a learning system? What is automation, and why does it fail? By Grades 4–6, students build real ML-adjacent projects using tools like Teachable Machine, ML5.js, and Python. Grades 7–12 advance to supervised learning, neural networks, and responsible AI practice.
Who We Are Looking For
Essential Qualifications
▸ Degree or demonstrable professional experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related field
▸ Working knowledge of machine learning fundamentals — you understand the difference between supervised learning, unsupervised learning, and rule-based AI, and can explain each to a non-specialist
▸ Python proficiency at minimum: you can write, read, and debug Python code.
Experience with ML libraries (scikit-learn, Tensor Flow, PyTorch) is strongly preferred
▸ Experience teaching or working with children and young people. This role begins with 6-year-olds. The question 'what does it mean for a machine to think?' must be answerable to a child
▸ Comfort with ethical complexity: the Mindspire track addresses AI ethics from Grade
1. Tutors must be able to lead age-appropriate discussions on bias, fairness, and responsible automation
Highly Desirable
✔ Experience building and deploying a real ML or AI project (research, industry, or personal)
✔ Familiarity with Teachable Machine, ML5.js, or other accessible ML tools for education
✔
Experience with reinforcement learning, natural language processing, or computer vision
✔ Background in AI ethics — academic, professional, or strong personal engagement with the field
✔ Experience teaching children aged 6–12, particularly in a STEM context
✔️ Mandatory:
Include in your application, a link to any teaching demo (video), tutoring portfolio (5 min maximum)
How to Apply
Send the following to with the subject line: SNT-MS-005 Application — [Your Name]
▸ Your CV (maximum 2 pages)
▸ Cover letter: why do you want to teach AI to children, and why does it matter to you that they learn about it ethically?
▸ Mandatory:
Include in your application, a link to any teaching demo (video), tutoring portfolio (5 min maximum)
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