Updated: 21 June 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) 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. About the Role 10x.team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable DevOps engineers based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered DevOps solutions. What You Will Do * 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. Who You Are * 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 Why Join? * Flexible, fully remote freelance work that fits your current commitments * Apply your DevOps expertise in a rapidly evolving, high-impact AI environment * Directly contribute to building advanced AI-powered DevOps systems * Free access to our in-house AI Academy to further develop your AI skillset * Clear onboarding, structured tasks, and ongoing opportunities for collaboration How to Apply: After applying, you’ll receive an email detailing the steps to: * ⁠Complete a short written assessment * Participate in an AI-powered interview   Important: Your application is only complete once you finish all steps via the email link. Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project. 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! ----------------------------------------- NOTE At 10x, there are two types of opportunities:   1. Traditional freelance missions These are regular project-based opportunities where the listed mission is the actual project you may work on.   2. AI Lab roles For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities. The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent. Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise. This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.