Senior Technical Trainer — AI / DevOps

What you’ll do:

• Shape the course with the curriculum team: sections, lessons, and hands-on labs.
• Write lab specs that a dedicated labs team builds, then test them.
• Write and narrate short, story-driven video lessons (about 6 minutes each).

What we’re looking for:

• 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.
• Excellent spoken and written English, confidence on camera, and a genuine passion for teaching.

How it works:

• It starts with one paid course project, alongside your current job, with a typical duration of around 3 months.
• A fixed fee per course is agreed upfront based on length and complexity, paid on delivery.
• Fully remote with flexible hours, weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team.