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AI Instructor – Lovable (Remote, Eastern Europe, Caucasus and Central Asia)

Applications open

Teach live online classes on turning ideas into apps with Lovable. You teach in English from a ready class kit, remotely, and you are paid for each class you teach.

English · Remote: Central Asia, Eastern Europe, Southern Europe, Western Asia · Freelance

Typical project pay

USD 10-24 per hour

Your hourly pay depends on your experience, the topic and the size of your class.

Each project invitation states the work, your pay, what the pay covers and what the work must meet. You see it before you accept.

Where
Remote
Central AsiaKazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, TurkmenistanEastern EuropeUkraine, Moldova, RussiaSouthern EuropeSerbia, Bosnia & Herzegovina, Montenegro, North Macedonia, AlbaniaWestern AsiaGeorgia, Armenia, Azerbaijan
Contract
Freelance
Status
Applications open
Apply now

The form has 5 questions about you and this role. No CV needed.

What the work is for

YPAI Learn teaches people to build with AI tools in live classes. Your classes take learners from an idea to a working app with Lovable Chats and Cloud, and then add a grounded AI feature to it.

The work

  • Teach the live class “From idea to app with Lovable Chats and Cloud”, 90 minutes, from the class kit.
  • Teach the live class “Add a grounded AI feature to a Lovable app”, 90 minutes, from the class kit.
  • Show each step live in Lovable, answer questions and help learners who get stuck.
  • Host open build sessions and hackathons, where learners build their own project and you review what they make.

What to expect

  • The Lovable classes happen live and online in English, for learners from different parts of the world. You can add the other languages you teach in on the application.
  • In each kit: slides, speaker notes, a plan that runs minute by minute, a demo that takes a Lovable app from a first prompt to a published app with a backend, and a backup recording of it.
  • Teaching is remote, from your own computer and browser, signed in to Lovable, with a microphone, a camera and a fast, stable connection.
  • Both Lovable classes have their own instructor test, and you need to pass it ahead of your first time leading that class.
  • Before a teaching assignment starts, you sign an instructor agreement. It covers pay, confidentiality and how class material may be used.
  • Each invitation states the class times and the price learners pay, and you see both before you accept.
  • Already have a course on Lovable, or want to make one? You can sell your own recorded course on YPAI Learn too. Bring a course you've built, or build one with our kit. It's the same application.

What you bring

  • Something you built with Lovable that you can show and explain.
  • Experience teaching, running workshops or meetups, or acting as an ambassador for a developer community.
  • Patience with learners who are new to building software.

You need

  • Hands-on use of Lovable in your own work.
  • Fluent spoken English, the language the classes are taught in.
  • 18 years or older.

Good to know

  • Your employment contract may say outside work needs approval. In that case, get the approval before you accept a Lovable teaching assignment.
  • You teach as often as there is demand for Lovable classes, and you will find the time commitment spelled out in each invitation.
  • It costs nothing to apply, and there is no YPAI Learn course to buy or take first.

Our team reviews applications for this role and contacts selected applicants by email. Applying does not guarantee project work.

Apply

The form has 5 questions about you and this role. No CV needed.

Payment
Via PayPal, Wise, or bank transfer
When you are paid
Paid every two weeks after approved work.
Fees to you
Never, at any stage. If someone asks, it is not us
Who hires you
YPAI, a registered Norwegian company that collects and annotates data for AI
Is English your first language?
Add a CVoptional
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Learn while you wait for a project.

Free courses in AI, English, data and security on YPAI Learn. Optional, and never part of your application.

Go to YPAI Learn
Co-Intelligence, Ethan MollickUnderstanding Artificial Intelligence, Patrick Grim / The Great CoursesThe Coming Wave, Mustafa Suleyman and Michael BhaskarPower and Prediction, Ajay Agrawal, Joshua Gans and Avi GoldfarbEmpire of AI, Karen HaoAI BookshelfStart with an AI audiobook. Listen to the books shaping AI while you wait for your next project.