Senior Technical Trainer — AI / DevOps Remote, worldwide

Senior Technical Trainer —

AI

/ DevOps

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 DevOps engineer who loves teaching to create and present a course on

AI

for DevOps: how engineers use

AI

agents and modern

AI

tooling in real infrastructure work.
This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight or YouTube, written a book, worked in DevRel, run workshops, or regularly speak at meetups and conferences.
It starts with one paid course project.

A typical project takes around 3 months.
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.
Fully remote with flexible hours.

Write and narrate short, story-driven video lessons (about 6 minutes each). You’re welcome to use

AI

to draft, but the final script should sound like you.
Work through structured editorial feedback, especially on your first section.
Video editing, animation, lab infrastructure and publishing are all handled by the production team. Hands-on DevOps foundations:

Linux, containers, Kubernetes, a major

cloud

, CI/CD, IaC. Real, current use of

AI

in your engineering work:

AI

agents, coding assistants, LLM-based automation. Deep

AI

specialisation isn’t required, but curiosity and staying current are.
Excellent spoken and written English.

All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera.
Clear, engaging spoken English and confidence on camera.
Published online courses or a book.
Conference talks, a growing YouTube channel or blog, or community roles (CNCF Ambassador, AWS Community Builder, Microsoft MVP, etc.).
Kubernetes (CKA/CKAD/CKS, Kubestronaut) or AWS/Azure certifications.
Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.