AI Instructor – LLM apps

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

Job summary

YPAI Learn seeks skilled live instructors to teach developers how to ship AI applications. Classes are remote, taught in English, and delivered from a complete class kit with slides, speaker notes and a demo app.

You will cover versioned prompts, a streaming UI, an eval suite and production traces, guiding learners from prompts in a playground to a deployed app used by real users, with tests and scores. Assignments are by invitation and pay occurs biweekly via PayPal, Wise or bank transfer.

Qualifications

• Hands-on shipping an LLM-based app with real users.
• Experience teaching developers and leading workshops.
• Patience with web developers and deterministic tests.

Responsibilities

• 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.

Skills

Teaching developers

Workshops leadership

Mentoring juniors

Public speaking

Job description

Teach live online classes for developers on shipping a complete application around a language model: prompts kept in code, a streaming interface, an eval suite and monitoring once real users arrive. You teach in English from a finished class kit, remotely, and you are paid for each class you teach.

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.

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.

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.