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Dreambuilders Academy PTE. LTD. is seeking innovative Part-Time Coaches to introduce coding, robotics and AI to primary and secondary students in Singapore. You will guide learners through block-based coding, robotics kits and Generative AI prompts, focusing on logic, design and critical thinking.
Responsibilities include leading holiday camps and school programmes, managing classrooms of 6–40 students, and ensuring student engagement while safeguarding equipment and materials.
At Dreambuilders.sg, kids don’t just learn to code. They learn to build. From block-based coding and robotics to AI-assisted app and game creation, our students turn their own ideas into real projects.
We are looking for innovative, forward-thinking Part-Time Coaches to introduce primary and secondary school students to coding, robotics and AI. In this role, you will move beyond rote, syntax-heavy instruction. Instead, you will help students build real things: animated stories and games in block-based coding, robots that sense and move, and apps, games and websites created with Generative AI and natural-language prompts. Throughout, you will keep students focused on logic, design and critical thinking.
You will coach across two formats:
Holiday Camps: multi-day camps during local and international school holidays, ending with a Demo Day for parents
School Programmes: weekly enrichment or curriculum sessions conducted in schools
Class sizes range from 6 to 40 students depending on the format, at schools and partner venues across Singapore.
Build Coding Foundations: Teach core computational thinking (sequences, loops, conditions, variables and events) through block-based platforms such as Scratch
Lead Robotics Sessions: Guide students to build, wire and program robots and physical computing projects using kits commonly used in Singapore schools, such as micro:bit, LEGO Education SPIKE, mBot or VEX.
Teach the Vibe Coding Mindset: Guide students to write clear, logical natural-language prompts that instruct AI to build their apps, games and websites.
Facilitate "Vibe & Verify" Workflows: Teach students that AI makes mistakes. Lead them through testing, debugging and reviewing AI-generated output to build resilience and strong logical thinking.
Scaffold Product Design: Help students think like designers and engineers by planning features, framing user stories and mapping out how their project works before they start building.
Lead Project-Based Classes: Deliver our lesson plans through interactive, hands-on sessions pitched to each level, from creative games and robots for primary students to functional apps, websites and more advanced robotics for secondary students.
Coach, Don’t Rescue: Ask the right questions so students solve problems themselves and keep every learner engaged; from those racing ahead, to those who are stuck.
Showcase Student Work: Prepare students to present their projects confidently to parents and teachers on Demo Day.
Care for Equipment: Set up, manage and pack away laptops, robotics kits and components so every session runs smoothly.
MOE Registration: You must be an MOE-registered instructor. If you are not yet registered, you must be willing to register with MOE before your first assignment.
Technical Fluency: Hands-on experience in at least one of: block-based coding (e.g. Scratch), robotics or physical computing kits, or AI-assisted coding tools and a willingness to learn the rest.
Debugging Mindset: Comfortable troubleshooting code, hardware and AI output when things don’t work as expected.
Strong Communication: Ability to break down complex technical logic into simple, everyday language that primary and secondary school students can easily grasp.
Classroom Presence: Enjoy working with young people, can hold a room’s attention, and stay calm and upbeat when technology misbehaves.
Reliability: Dependable and professional with students, parents and school staff.
Availability: Available during local and/or international school holidays and able to commit to the full duration of each camp / program assignment you take on.
Safeguarding: Willing to complete a background declaration and provide references.
Youth Mentorship: Prior experience teaching or tutoring primary or secondary school students is highly advantageous.
Enrichment Experience: Experience running coding, robotics or STEM enrichment in schools or centres (eg. IMDA’s Code for Fun / AI for Fun) or coaching students for robotics competitions.
Background: Suitable for Computer Science, Engineering or STEM students, tech enthusiasts, or educators who embrace the evolution of AI in technology and learning.
Commitment: Flexible part-time schedule across weekday after-school hours, weekends, and local and international school holidays. Choose the camps and programmes that suit you.
Compensation: Competitive per hourly / camp salary based on experience.
Onboarding: We will coach you on our curriculum and teaching approach before your first camp.