Senior Technical Trainer — AI
Pubblicato il 27-10-2026 - Jobgether in Arezzo
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 Italy. 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
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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 o Collaborate with the curriculum team to define course structure, learning objectives, lesson sequences, and practical lab exercises focused on AI for DevOps. o Develop content that demonstrates how engineers use AI agents, coding assistants, and LLM‑based automation in real infrastructure environments. o Ensure lessons are technically accurate, relevant, practical, and aligned with the needs of working engineers.
* Create engaging instructional content o Write concise, story‑driven video scripts designed to explain technical concepts clearly,
with individual lessons typically lasting around six minutes. o Use AI tools where helpful during drafting while ensuring the final scripts reflect your own voice, expertise, and teaching style. o Narrate and present lessons confidently in English, making complex technical topics approachable for learners at different experience levels.
* Develop and validate hands‑on labs o Write detailed specifications for practical labs that demonstrate real‑world DevOps and AI workflows. o Collaborate with the dedicated labs team responsible for building the lab environments. o Test completed labs, validate technical accuracy, and ensure exercises deliver the intended learning outcomes. o Record demonstrations and walkthroughs explaining how to complete lab exercises and solve practical challenges.
* Collaborate on quality and editorial development o Work closely with curriculum and production teams throughout the course development process. o Incorporate structured editorial feedback, particularly during the initial course section, to align content with established teaching standards. o Participate in regular team syncs and maintain communication through collaboration tools such as Slack. o 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 o Strong practical knowledge of Linux, containers, Kubernetes, at least one major cloud platform, CI/CD, and infrastructure as code (IaC). o Experience building, operating, and maintaining infrastructure rather than relying solely on theoretical knowledge. o The ability to demonstrate real engineering workflows and translate practical experience into effective learning materials.
* Current experience with AI technologies o Practical experience using AI tools in engineering work, including AI agents, coding assistants, and LLM‑based automation. o Genuine curiosity about emerging AI capabilities and a commitment to staying current with new tools and techniques. o 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 o 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. o Excellent written and spoken English, with the ability to communicate clearly, naturally, and confidently on camera. o Strong storytelling skills and the ability to break down complex technical concepts into simple, structured explanations. o Empathy for learners, particularly beginners, and an understanding of how to make technical material engaging and accessible.
* Collaboration and adaptability o Willingness to follow an established teaching methodology and incorporate constructive editorial feedback. o Ability to work independently, organize deliverables, and meet an agreed project schedule. o Comfort working remotely with a distributed team, including participation in weekly sync