AI & Robotics Trainer / STEM Robotics Educator (Part-Time)

Company Description

Urban School designs immersive, hands-on student programs and collaborates with schools to co-create experiential, context-driven learning environments across K-12. The organization focuses on practical, lasting educational solutions that strengthen school capacity and empower people across classrooms and communities.

Job Title: AI & Robotics Trainer / STEM Robotics Educator

Position Type: Part-Time, paid per session

Location: Hyderabad (on-site)

Start: First week of September

Position Overview

We are looking for an innovative, tech-savvy, and highly enthusiastic AI & Robotics Educator to inspire our next generation of engineers and programmers. In this role, you will lead sessions in our Innovation/Robotics Lab, taking students beyond the screen. Your mission is to teach students how to build, wire, program, and think critically about the artificial intelligence and automated systems shaping our world.

Required Qualifications & Skills

Education: Bachelor’s degree or equivalent working background in Computer Science, Robotics, Mechatronics, Electrical/Mechanical Engineering, Physics, or STEM Education.

Teaching Experience: Prior experience teaching, tutoring, mentoring, or running workshops for school-age students. Classroom, coaching centre, summer camp, robotics club, or college outreach all count.

Technical Troubleshooting: The ability to look at a student’s broken wiring diagram or buggy code and guide them to find the solution.

Patience & Simplification: A rare talent for translating complex engineering maths and advanced coding logic into exciting, understandable milestones for children and teenagers.

Responsibilities

Deliver hands-on, project-based classes in robotics, hardware engineering, coding, and foundational Artificial Intelligence (AI). Teach core technical concepts at an age-appropriate level, including:

Hardware & Mechanics: Designing and building physical robots using structural kits, gears, motors, and sensors.

Electronics: Introducing basic circuitry, breadboarding, and microcontrollers (e.g., Arduino, Raspberry Pi).

Software & AI: Teaching computational logic, starting with block-based coding (Scratch, Blockly) and progressing to Python basics, machine learning models, and computer vision.