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 Argentina.

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 adecuado 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 abilit

📌 Senior Technical Trainer — AI (Argentina)
🏢 Jobgether
📍 Argentina