Jobs | Devgigs

Senior Technical Trainer — Machine Learning Remote, worldwide

OnHires - USA - posted 4 days ago

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Extracted from the posting

Base

Not stated

Remote

Fully remote, flexible hours; some overlap with Europe/Asia team

Stack

scikit-learn, PyTorch, TensorFlow, AWS

TL;DR

Freelance course project creating and presenting machine learning courses for engineers on a hands-on tech-education platform. Work includes shaping course sections and lessons with a curriculum team, writing lab specs, and narrating roughly 6-minute video lessons. Production, editing, and lab infrastructure are handled by the platform's production team; the stack taught covers scikit-learn, PyTorch, or TensorFlow.

The full posting

Remote, worldwide · Freelance course project with a path to full-time

We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera.

We’re looking for a machine learning practitioner who loves teaching to create and present ML courses for engineers, from foundations to training their own models.

This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight, Coursera or YouTube, written a book, taught at a university or bootcamp, or regularly run workshops and talks.

How it works

It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months.
The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects.
A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course.
Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team.

What you’ll do

Shape the course with the curriculum team: sections, lessons, labs and notebooks.
Write lab specs that a dedicated labs team builds, then test them.
Write and narrate short, story-driven video lessons (about 6 minutes each) that make ML intuitive. You’re welcome to use AI to draft, but the final script should sound like you.
Record demo and lab-solution walkthroughs.
Work through structured editorial feedback, especially on your first section.

Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching.

What we’re looking for

Strong, hands-on ML foundations: you’ve trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow).