Remote AI Make Instructor — Live Automation Classes

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

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.