Technical AI Trainer (Remote, Full-Time) [HR201]

Responsibilities

• Design and deliver hands-on AI training across Development, QA, and DevOps.
• Own and continuously evolve the training curriculum to ensure it remains up to date.
• Review trainees' submitted code and exercises, providing direct, practical feedback.
• Stay hands-on with emerging AI tools, including coding assistants, MCP servers, and AI-driven CI/CD automation.
• Deliver practical training in AI-assisted software delivery, including coding, test automation, code review, and CI/CD.
• Apply broad, hands-on knowledge across the full software development lifecycle rather than a front-end or back-end specialism.
• Work collaboratively with other trainers and curriculum contributors while independently designing and delivering training.

Requirements

• 6–9 years of hands-on software engineering experience across the full SDLC, including Development, QA, and DevOps.
• 2+ years of daily hands-on use of AI coding tools such as Claude Code, GitHub Copilot, or equivalent AI IDEs.
• 1+ year of hands-on experience with AI-assisted test automation, such as Playwright with AI test generation.
• 1+ year of hands-on AI-assisted code review experience.
• 3+ years of CI/CD pipeline configuration experience, including 6–12 months of AI/MCP-driven CI/CD automation knowledge.
• 2+ years of coaching, mentoring, or delivering technical training or workshops.
• Strong communication skills with the ability to explain technical concepts to audiences with varying levels of experience.
• A patient coaching mindset suited to supporting non-expert and mixed-skill audiences.
• Curiosity and self-motivation to stay current with emerging AI tools.
• Demonstrable hands-on delivery experience with AI tools rather than purely conceptual or theoretical knowledge.
• Strong generalist expertise spanning Development, QA, DevOps, and the full software development lifecycle.

Nice to Have

• 6–12 months of hands-on experience with MCP servers (such as GitHub MCP Server) and agent-based workflow automation, or strong AI fundamentals with the ability to ramp up quickly.
• 1+ year of curriculum or training content development experience, or the ability to rapidly develop this capability through strong self-directed learning.
• 1+ year of experience reviewing or assessing code or technical exercises submitted by others.
• 2+ years of DevOps auto-deployment or infrastructure automation experience, or strong CI/CD fundamentals with a willingness to learn.
• Experience leading projects.
• A strong one-to-one mentoring track record.