AI Instructor – Make

YPAI; United States; Remote; USD 36,000 - 136,000; Full time

Job summary

YPAI Learn offers live online classes teaching visual automation with Make, including routing, data mapping, and AI data extraction. You teach in English, remotely, using a ready-to-use class kit, and are paid per class taught.

Classes cover routing new leads, extracting invoice data with AI, and showing how to manage mappings, date cleaning, and error handling in Make scenarios. A class kit, slide deck, and recorded runs accompany each invitation.

Qualifications

• Hands-on use of Make in real work: scenarios, modules, mapping, routers, iterators and aggregators.
• Fluent spoken English, the language the classes are taught in.
• Experience training colleagues, running workshops or coaching teams on no-code tools.
• Patience with marketing and finance staff who are mapping data between apps for the first time.

Responsibilities

• Teach the live class “Route new leads to the right team with Make routers and filters”, 90 minutes, from the class kit.
• Teach the live class “Extract invoice data with AI in a Make scenario and handle the errors”, 90 minutes, from the class kit.
• Show live how the mapping panel moves fields between modules, how functions clean up dates, text and numbers, and how a router's filters and fallback route decide where each bundle goes.
• Walk learners through splitting attachments with an iterator, sending each one to an AI module for extraction, then joining the results into one record with an array aggregator.
• Help learners when a connection expires, a bundle fails a filter or a run stops on an error, by adding Resume or Rollback handlers and working through incomplete executions.

Job description

Teach live online classes on visual automation with Make: scenarios, routers, data mapping and AI modules that read and sort incoming data. You teach in English, remotely, using a class kit made ready for you, and you are paid for each class you teach.

What the work is for

YPAI Learn runs live classes in which people automate their work with AI. Your classes take learners from a first Make scenario that sends each new lead down the right route to one that pulls fields out of invoice attachments with AI, and teach them to check each mapped value and failed run in the scenario history.

The work

• Teach the live class “Route new leads to the right team with Make routers and filters”, 90 minutes, from the class kit.
• Teach the live class “Extract invoice data with AI in a Make scenario and handle the errors”, 90 minutes, from the class kit.
• Show live how the mapping panel moves fields between modules, how functions clean up dates, text and numbers, and how a router's filters and fallback route decide where each bundle goes.
• Walk learners through splitting attachments with an iterator, sending each one to an AI module for extraction, then joining the results into one record with an array aggregator.
• Help learners when a connection expires, a bundle fails a filter or a run stops on an error, by adding Resume or Rollback handlers and working through incomplete executions.

What to expect

• Classes are held in English for a live online group from around the world; on the application form you can list any other teaching languages.
• For every class you get a kit: a plan timed to the minute, slides, speaker notes, a demo scenario and a recorded run of that scenario to fall back on.
• Teaching is remote: your own computer, a stable internet connection, a camera, a microphone and a Make account you can build and run scenarios in during class.
• The instructor test for each class comes first: you pass it before you teach that class the first time.
• 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.

What you bring

• A Make scenario you built for real work, with routes or error handling, that you can show on screen or share as a blueprint.
• Experience training colleagues, running workshops or coaching teams on no-code tools.
• Patience with marketing and finance staff who are mapping data between apps for the first time.

You need

• Hands-on use of Make in real work: scenarios, modules, mapping, routers, iterators and aggregators.
• Comfort with how Make structures data: bundles, arrays, collections and JSON arriving from webhooks.
• Fluent spoken English, the language the classes are taught in.
• 18 years or older.

Good to know

• If your job contract says outside work needs approval, sort that out before you say yes to an assignment.
• Class demand decides how much you teach, and every invitation says how much time it expects from you.
• Applying is free. You do not have to buy or attend a YPAI Learn course.

Pay

$26–$99/hr. Rate shown is for the United States. This role is open in 4 countries, with local rates; pick your country on YPAI.

YPAI pays every two weeks for approved work via PayPal, Wise or bank transfer. Work is by invitation after your profile is reviewed.