AI Instructor – Machine learning

What the work is for

YPAI Learn teaches people to work with AI tools in live classes. Your classes take learners from a first classifier trained with an AI assistant’s help to an evaluation they can trust, and teach them to check the split, look for leakage and compare the model against a simple baseline.

The work

• Teach the live class “Train and evaluate your first classifier with scikit-learn and AI help”, 90 minutes, from the class kit.
• Teach the live class “Catch data leakage and choose the right metric before you trust a model”, 90 minutes, from the class kit.
• Show live how to split data into training, validation and test sets, fit a baseline and a model, and read a confusion matrix, precision and recall together.
• Walk learners through a leaky dataset: a feature that knows the answer, a time split done wrong, duplicates across sets, and how the score falls once each is fixed.
• Help learners whose model looks too good, will not converge or was tuned on the test set, and show how to ask an AI assistant to review the pipeline step by step.

What to expect

• Live online classes, taught in English to learners in many countries; in your application you can also name the other languages you can teach in.
• For each class you get a kit: a minute-by-minute plan, slides, speaker notes, a demo notebook with the dataset, and a backup recording of the demo.
• You teach remotely on your own computer, with a stable connection, a camera and a microphone, and a Python notebook environment with scikit-learn to demo from.
• Before you teach a class the first time, you pass that class’s 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 machine learning, 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

• A model you trained and evaluated in real work, with a notebook or write-up showing how you split the data and chose the metric.
• Experience teaching machine learning, mentoring data scientists, running workshops or reviewing models before release.
• Patience with learners who know Python but have never asked why a model scores so well.

You need

• Hands-on machine learning in your own work, using AI assistants to write, debug or review training and evaluation code.
• Solid grounding in supervised learning, cross-validation, class imbalance and common metrics such as precision, recall and ROC AUC.
• Fluent spoken English, the language the classes are taught in.
• 18 years or older.

Good to know

• Where your employment contract requires permission for outside work, obtain that permission before you accept any assignment.
• How often you teach depends on demand for the classes, and every invitation gives the time commitment it expects.
• You can apply without paying anything, and without buying or completing a YPAI Learn course.