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Open nowPosted yesterday

Part-Time Coding, Robotics and AI Coach

MyCareersFuture96,520 open roles

Pay
SGD 2,000 – SGD 4,000 a month
Where
Singapore
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Your applicationOpen nowPart-Time Coding, Robotics and AI CoachMyCareersFuture · Singapore

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  5. 33.9%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

About Dreambuilders

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.

Role Overview

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.

Key Responsibilities

  • 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.

Qualifications & Requirements

  • 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.

Good to Have

  • 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.

Schedule & Compensation

  • 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.

How to Apply

Send your CV and a few lines about something you’ve built with AI to [email protected], with the subject “Coach Application – [Your Name]”. Project links are a big plus!

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