Specialist Tutor -- AI & Automation

Students must learn how intelligent systems work in order to restore them.\n\nIn 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.\n\nWho We Are Looking For\n\nEssential Qualifications\n%B8; Degree or demonstrable professional experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related field\n%B8; 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\n%B8; Python proficiency at minimum: you can write, read, and debug Python code. Experience with ML libraries (scikit-learn, TensorFlow, PyTorch) is strongly preferred\n%B8; 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\n%B8; 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\n\nHighly Desirable\n'14; Experience building and deploying a real ML or AI project (research, industry, or personal)\n'14; Familiarity with Teachable Machine, ML5.js, or other accessible ML tools for education\n'14; Experience with reinforcement learning, natural language processing, or computer vision\n'14; Background in AI ethics — academic, professional, or strong personal engagement with the field\n'14; Experience teaching children aged 6–12, particularly in a STEM context\n'14;️ Mandatory: Include in your application, a link to any teaching demo (video), tutoring portfolio (5 min maximum)\n\nHow to Apply\nSend the following to with the subject line: SNT-MS-005 Application — [Your Name]\n%B8; Your CV (maximum 2 pages)\n%B8; Cover letter: why do you want to teach AI to children, and why does it matter to you that they learn about it ethically?\n%B8; Mandatory: Include in your application, a link to any teaching demo (video), tutoring portfolio (5 min maximum)