Senior Technical Trainer - AI / DevOps

About the role

A partner company is looking for a Senior Technical Trainer in AI / DevOps, based in the United Arab Emirates. The trainer combines hands-on DevOps expertise with teaching to build practical, engaging courses on AI-powered engineering workflows, helping engineers apply AI agents, coding assistants and modern AI tools to real infrastructure and automation challenges. The role is remote and freelance, starting with a paid course project of about three months, with possible ongoing projects or a full-time position.

Key responsibilities

• Design and develop technical courses, working with the curriculum team on structure, learning objectives, lesson sequences and hands-on labs focused on AI for DevOps
• Create video scripts and narrate lessons in English, keeping them concise and story-driven (about six minutes each)
• Develop detailed specifications for hands-on labs, test them, and record demonstrations and walkthroughs
• Work with production teams on editorial feedback, while they handle video editing, animation, lab infrastructure and publishing

Required profile

• Hands-on DevOps and infrastructure experience, with a track record of building, operating and maintaining infrastructure
• Current practical experience with AI tools such as AI agents, coding assistants and LLM-based automation
• Demonstrated passion for teaching, such as creating courses, tutorials, talks or workshops, mentoring or sharing knowledge with a community
• Excellent written and spoken English, with strong storytelling and empathy for learners
• Ability to work independently, meet deadlines, and collaborate remotely with a distributed team

Required skills

• Linux, containers, Kubernetes, at least one major cloud platform, CI/CD and infrastructure as code
• Experience with AI tools in engineering work
• Advantage: online courses on platforms such as Udemy or Pluralsight, conference speaking, community roles (e.g. CNCF Ambassador, AWS Community Builder, Microsoft MVP), or Kubernetes and cloud certifications

What we offer

• Fixed fee per course, agreed upfront, with higher pay for advanced topics and exceptional instructors
• Fully remote work with flexible hours and no fixed weekly-hour requirement
• Potential to progress to a full-time role or take on additional projects
• Dedicated production support for video editing, animation, lab infrastructure and publishing