# AI Instructor – LLM apps (Remote, Latin America and the Caribbean)

Live class instruction: AI engineering · Remote: Caribbean, Central America, South America · Freelance

- **Typical project pay**: USD 10-24 per hour
  Your hourly pay depends on your experience, the topic and the size of your class.
- **Where**: Remote
  - **Caribbean**: Dominican Republic, Jamaica, Trinidad & Tobago, Bahamas, Barbados, Haiti, St. Lucia, Grenada, St. Vincent & Grenadines, St. Kitts & Nevis, Antigua & Barbuda, Dominica
  - **Central America**: Costa Rica, Panama, Guatemala, El Salvador, Honduras, Nicaragua, Belize
  - **South America**: Argentina, Chile, Peru, Uruguay, Ecuador, Bolivia, Paraguay, Guyana, Suriname
- **Contract**: Freelance
- **Status**: Applications open
- **Published**: 2026-11-12

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

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.
- 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.

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

[Apply now](https://freelancer.ypai.ai/jobs/openings/ai-instructor-llm-apps-latam)