DevOps Lead - AI Trainer - Freelance - 8-20hrs/week - Remote

Updated: 27 April 2026

Are you an experienced DevOps engineer who instinctively spots gaps in system reliability, automation, or deployment strategies and understands the complex realities of DevOps in a production environment? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies DevOps expertise at scale.

• Review and refine AI-generated outputs related to infrastructure automation, CI/CD pipelines, system monitoring, cloud deployments, and practical aspects of DevOps workflows

• Evaluate AI responses for technical accuracy, reliability, and compliance with real-world requirements

• Draft realistic DevOps scenarios based on your direct professional experience

• Create scenario variations from different perspectives (e.g. DevOps engineer, developer, SRE, or stakeholder)

• Identify gaps, oversights, or weak reasoning in AI-generated DevOps content

In simple terms:
You will assess and improve AI-generated content, ensuring it reflects true DevOps reasoning, authentic documentation, and practical deployment procedures. Rather than conducting traditional DevOps projects, you’ll apply your expertise to help AI systems understand and reason about DevOps practices at scale.

• A senior-level DevOps engineer with significant professional experience within the EU or UK

• Experienced in designing, building, and maintaining CI/CD pipelines, infrastructure as code, cloud platforms, or deployment automation

• Skilled at evaluating system reliability, automation processes, and compliance

• Comfortable working independently and providing structured, critical feedback

• Available for 8–20 hours per week, with prompt availability

To complete your application, you’ll receive an email right after applying with a link to:

• A short written evaluation

• A brief AI-powered interview

• A quick compliance check (credentials & identity)

Important: Your application is only complete once you finish these steps via the link in the email.

After successful onboarding, you’ll be eligible to start on upcoming projects as they become available.

Join us to help shape the DevOps expertise of the world’s most advanced AI models!

#LI-TT1