AI Instructor – LLM apps (Remote, South Asia)

What the work is for

YPAI Learn teaches developers to ship AI applications in live classes. Your classes take them from a prompt that works once in a playground to a deployed app that real users try, and teach them to check every prompt or model change against an eval set and production traces before it ships.

The work

• Teach the live class “Ship a meeting-notes assistant with versioned prompts and a streaming UI”, 90 minutes, from the class kit.
• Teach the live class “Catch a prompt regression with an eval suite and production traces”, 90 minutes, from the class kit.
• Show live how the app keeps prompts as versioned files, renders a streamed answer in the UI, and handles empty, slow or refused responses without breaking the page.
• Walk learners through turning real user inputs into test cases, scoring them with code checks and an LLM judge, and reading which cases a prompt change made worse.
• Help learners when the deploy fails, traces show no data or eval scores shift for no clear reason, by changing one prompt, model or setting at a time.

What to expect

• Learners worldwide join each class live over video, and the class is held in English. The application has a question on other languages you could teach in.
• Your class kit gives you a minute-by-minute plan, slides, speaker notes, a demo app with its eval suite, and a backup recording of the demo.
• All teaching is remote, from your own computer with a camera, a microphone and a stable connection, plus a local setup that can run the demo app.
• Before you teach a class for the first time, you take and pass its instructor test.
• 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 LLM apps, 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

• An LLM app you shipped to real users, with its repository, eval results or monitoring dashboard to show.
• Experience teaching developers, leading workshops, mentoring juniors or presenting at meetups.
• Patience with web developers who are used to deterministic tests and find model output hard to pin down.

You need

• Hands-on work shipping and running an application built on a language model, past the prototype stage.
• Solid web development skills: a backend framework, a frontend that handles streaming, deployment and logging.
• Fluent spoken English, the language the classes are taught in.
• 18 years or older.

Good to know

• Where your contract says your employer must approve work outside your job, have that approval in place before you accept an assignment.
• Your teaching volume rises and falls with class demand, and each invitation spells out the time commitment it expects.
• You can apply at no cost, without buying or taking any YPAI Learn course.