Applied AI Trainer

Sunstone Education; Ghaziabad District; On-site; INR 600,000 - 900,000; Full time

Job summary

Sunstone Education is seeking an instructor to lead the AI track with hands-on, laptop-focused sessions, guiding from zero and avoiding traditional AI lectures. You will co-build AI exercise playbooks with the central academic team and tailor them for your campus.

You will help develop better learning tools for STRIDE students across campuses, run guided labs, and mentor student projects such as Creator Challenge and Venture Challenge, all while keeping materials up to date as tools evolve each

Responsibilities

• Teach the AI track: hands-on, laptops open, guided from zero. No lectures about AI. Doing with AI.
• Co-build AI exercise playbooks with the central academic team and adapt them for your campus: the finance faculty teaching unit, economics with AI runs a playbook, not improvisation.
• Help build better learning tools for STRIDE students across campuses: practice systems, automated feedback, and internal tools that make the programme itself smarter every semester.
• Run guided labs: dashboard builds, automation sprints, agent deployments. Students leave each lab with something working.
• Stay current so the programme stays current: tools change monthly, and your course material changes with them. What you teach in January will not be what you taught in August.
• Mentor student projects: the Creator Challenge in Year 1 and the Venture Challenge in Year 2, both run on AI systems that students build under your guidance.

Job description

What You Will Do

• Teach the AI track: hands-on, laptops open, guided from zero. No lectures about AI. Doing with AI.
• Co-build AI exercise playbooks with the central academic team and adapt them for your campus: the finance faculty teaching unit, economics with AI runs a playbook, not improvisation.
• Help build better learning tools for STRIDE students across campuses: practice systems, automated feedback, and internal tools that make the programme itself smarter every semester.
• Run guided labs: dashboard builds, automation sprints, agent deployments. Students leave each lab with something working.
• Stay current so the programme stays current: tools change monthly, and your course material changes with them. What you teach in January will not be what you taught in August.
• Mentor student projects: the Creator Challenge in Year 1 and the Venture Challenge in Year 2, both run on AI systems that students build under your guidance.