Senior Technical Trainer — AI / DevOps Remote, worldwide

OnHires

13h • Remote

About The Position

A global hands-on tech-education platform is seeking a DevOps engineer to create and present a course on AI for DevOps, focusing on how engineers use AI agents and modern AI tools in real infrastructure work. The position begins with one paid freelance course project that can be completed alongside a current job. There is no fixed weekly-hours requirement; the trainer and team agree on a delivery plan. A typical project takes around three months. A fixed fee is agreed upfront based on course length and topic complexity, and payment is made when the completed course is delivered.

The trainer works with the curriculum team to develop course sections, lessons, and lab specifications. A dedicated labs team builds the labs, which the trainer then tests. The trainer writes and narrates short, story-driven video lessons of about six minutes each, and records demonstrations and lab-solution walkthroughs. The production team handles video editing, animation, lab infrastructure, and publishing. The role includes structured editorial feedback, particularly on the first course section.

The work is fully remote with flexible hours. It involves a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team. The initial project may lead to further course projects or a full-time role, depending on fit.

Requirements

• Hands-on DevOps foundations, including Linux, containers, Kubernetes, a major cloud platform, CI/CD, and infrastructure as code.
• Build and operate infrastructure directly.
• Current practical use of AI in engineering work, such as AI agents, coding assistants, or LLM-based automation.
• Excellent spoken and written English, with clear, natural delivery and confidence on camera.
• Demonstrated passion for teaching through courses, tutorials, talks, workshops, or mentoring.
• Ability to explain complex topics simply and empathetically to beginners.
• Openness to an established teaching methodology and editorial feedback.

Nice To Haves

• Published online courses or a book.
• Conference talks, a growing YouTube channel or blog, or community roles such as CNCF Ambassador, AWS Community Builder, or Microsoft MVP.
• Kubernetes certifications (CKA, CKAD, CKS, or Kubestronaut) or AWS/Azure certifications.

Responsibilities

• Collaborate with the curriculum team to shape course sections, lessons, and hands-on labs.
• Write lab specifications for the dedicated labs team and test the resulting labs.
• Write and narrate short, story-driven video lessons, approximately six minutes each.
• Record demonstrations and lab-solution walkthroughs.
• Incorporate structured editorial feedback and follow the established teaching methodology.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed