Senior Technical Trainer — Machine Learning Remote, worldwide

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.

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  Shape the course with the curriculum team: sections, lessons, labs and notebooks.

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  Write lab specs that a dedicated labs team builds, then test them.

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  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.

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  Record demo and lab-solution walkthroughs.

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  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.

• Published online courses, a book, or university/bootcamp teaching experience.

• Experience with fine-tuning, MLOps or deploying models in production.

• Cloud ML certifications (AWS, Azure, GCP, Databricks).

How to apply
Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.