Senior Technical Trainer — AI / DevOps

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Technical Trainer — AI / DevOps based in United States.

As a Senior Technical Trainer, you will combine hands-on DevOps expertise with a passion for teaching to develop practical, engaging courses on AI-powered engineering workflows. You will help engineers understand how to apply AI agents, coding assistants, and modern AI tools to real-world infrastructure and automation challenges. Working alongside a curriculum team and experienced technical educators, you will design lessons, develop hands-on lab specifications, and record clear, compelling instructional videos. This remote freelance opportunity begins with a paid course project, typically lasting around three months, with the potential for ongoing projects or a full-time position. You will have the flexibility to work alongside existing commitments while contributing your technical knowledge to a global engineering community. The ideal candidate is a practising DevOps engineer who can simplify complex concepts, communicate confidently on camera, and create learning experiences that make advanced technologies accessible.

Accountabilities

• Design and develop technical courses

• Collaborate with the curriculum team to define course structure, learning objectives, lesson sequences, and practical lab exercises focused on AI for DevOps.
• Develop content that demonstrates how engineers use AI agents, coding assistants, and LLM-based automation in real infrastructure environments.
• Ensure lessons are technically accurate, relevant, practical, and aligned with the needs of working engineers.
• Create engaging instructional content

• Write concise, story-driven video scripts designed to explain technical concepts clearly, with individual lessons typically lasting around six minutes.
• Use AI tools where helpful during drafting while ensuring the final scripts reflect your own voice, expertise, and teaching style.
• Narrate and present lessons confidently in English, making complex technical topics approachable for learners at different experience levels.
• Develop and validate hands-on labs

• Write detailed specifications for practical labs that demonstrate real-world DevOps and AI workflows.
• Collaborate with the dedicated labs team responsible for building the lab environments.
• Test completed labs, validate technical accuracy, and ensure exercises deliver the intended learning outcomes.
• Record demonstrations and walkthroughs explaining how to complete lab exercises and solve practical challenges.
• Collaborate on quality and editorial development

• Work closely with curriculum and production teams throughout the course development process.
• Incorporate structured editorial feedback, particularly during the initial course section, to align content with established teaching standards.
• Participate in regular team syncs and maintain communication through collaboration tools such as Slack.
• Focus on technical expertise, teaching, scripting, and recording while the production team manages video editing, animation, lab infrastructure, and publishing.

Requirements:

• Hands-on DevOps and infrastructure experience

• Strong practical knowledge of Linux, containers, Kubernetes, at least one major cloud platform, CI/CD, and infrastructure as code (IaC).
• Experience building, operating, and maintaining infrastructure rather than relying solely on theoretical knowledge.
• The ability to demonstrate real engineering workflows and translate practical experience into effective learning materials.
• Current experience with AI technologies

• Practical experience using AI tools in engineering work, including AI agents, coding assistants, and LLM-based automation.
• Genuine curiosity about emerging AI capabilities and a commitment to staying current with new tools and techniques.
• The ability to explain how AI can support infrastructure engineering and DevOps workflows; deep specialization in AI research is not required.
• Teaching and communication skills

• A demonstrated passion for teaching, supported by experience creating courses, publishing tutorials, delivering talks or workshops, mentoring colleagues, or sharing technical knowledge with a community.
• Excellent written and spoken English, with the ability to communicate clearly, naturally, and confidently on camera.
• Strong storytelling skills and the ability to break down complex technical concepts into simple, structured explanations.
• Empathy for learners, particularly beginners, and an understanding of how to make technical material engaging and accessible.
• Collaboration and adaptability

• Willingness to follow an established teaching methodology and incorporate constructive editorial feedback.
• Ability to work independently, organize deliverables, and meet an agreed project schedule.
• Comfort working remotely with a distributed team, including participation in weekly syncs and some time-zone overlap with colleagues based in Europe and Asia.
• Additional qualifications considered an advantage

• Previously published online courses on platforms such as Udemy or Pluralsight, or experience authoring a technical book.
• Experience speaking at conferences or meetups, maintaining a technical YouTube channel or blog, or contributing to technical communities.
• Community credentials or roles such as CNCF Ambassador, AWS Community Builder, or Microsoft MVP.
• Relevant Kubernetes certifications, including CKA, CKAD, or CKS, or recognition such as Kubestronaut.
• Cloud certifications from providers such as AWS or Microsoft Azure.

Benefits:

• Competitive fixed fee per course, agreed upfront based on course length and topic complexity, with higher compensation for advanced topics and exceptional instructors.
• Paid freelance project that can be completed alongside an existing job, with no fixed weekly-hour requirement.
• A typical initial project duration of approximately three months, with a mutually agreed delivery plan.
• Potential to progress to a full-time role or take on additional course projects based on mutual fit.
• Fully remote working arrangements with flexible hours.
• Opportunity to collaborate with a global technical education team and reach a community of more than one million engineers.
• Dedicated production support for video editing, animation, lab infrastructure, and course publishing, allowing you to focus on teaching and technical content.
• Opportunity to share your expertise in AI, DevOps, cloud, and Kubernetes through practical, hands-on education.