DevOps Lead - AI Trainer - Freelance - 8-20hrs/week - Remote
Posted 6 days ago by 10x.Team
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of DevOps Lead - AI Trainer is a freelance position requiring 8 to 20 hours per week, focused on enhancing AI systems through the application of DevOps expertise. The position is fully remote and targets professionals based in the EU or UK. Candidates will review and refine AI-generated content related to DevOps processes, ensuring alignment with industry standards. This role offers flexibility and the potential for longer-term engagement in innovative AI projects.
Key Responsibilities:
- Review and refine AI-generated content and workflows related to DevOps processes.
- Assess outputs for accuracy and adherence to best practices in infrastructure automation, deployment, monitoring, and CI/CD.
- Draft realistic operational and deployment scenarios, including use cases across cloud infrastructure, containerisation, orchestration, and automated testing.
- Evaluate AI reasoning in areas like system reliability, scalability, disaster recovery, and security.
- Identify technical gaps or misalignments with industry DevOps standards.
- Create scenario variations from perspectives such as DevOps engineer, site reliability engineer, and infrastructure lead.
Key Skills:
- Experience as a DevOps engineer, systems architect, or cloud infrastructure expert.
- Knowledgeable about CI/CD, infrastructure as code, automation, and container orchestration.
- Skilled in detecting process inefficiencies and technical inaccuracies.
- Available for 8 to 20 hours per week.
- Able to start in the coming weeks.
Salary (Rate): £89.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Updated: 30 March 2026
Freelance | 8–20 hrs/week | Remote (EU/UK)
DevOps Lead - AI Trainer (Freelance | 8–20 hrs/week | Remote EU/UK)
Are you an experienced DevOps professional looking to apply your knowledge in an innovative setting? Do you have 8 to 20 hours per week available alongside your existing projects or consultancy work? We are seeking freelance DevOps leads based in the EU or UK to help improve advanced AI systems.
What You’ll Be Doing
We are 10x.team, a platform for fractional and freelance experts. We partner with leading AI labs to enhance the capabilities of large AI systems.
In This Role, You'll
- Review and refine AI-generated content and workflows related to DevOps processes
- Assess outputs for accuracy and adherence to best practices in infrastructure automation, deployment, monitoring, and CI/CD
- Draft realistic operational and deployment scenarios, including use cases across cloud infrastructure, containerisation, orchestration, and automated testing
- Evaluate AI reasoning in areas like system reliability, scalability, disaster recovery, and security
- Identify technical gaps or misalignments with industry DevOps standards
- Create scenario variations from perspectives such as DevOps engineer, site reliability engineer, and infrastructure lead
Simply Put
You will review and iteratively improve AI-generated DevOps content to ensure it aligns with real-world processes and expectations, directly contributing to the performance and reliability of AI products.
You Are Who this is for
- A DevOps engineer, systems architect, or cloud infrastructure expert
- Based in the EU or UK
- Experienced in deploying, operating, and securing scalable cloud-based systems
- Knowledgeable about CI/CD, infrastructure as code, automation, and container orchestration
- Skilled in detecting process inefficiencies and technical inaccuracies
- Available 8 to 20 hours per week
- Able to start in the coming weeks
This position is fully remote and flexible, ideal for fitting alongside your existing professional responsibilities.
Why join?
- Flexible, part-time hours
- 100% remote arrangement
- Apply your DevOps expertise to frontier AI projects
- Help improve industry-leading AI products
- Clear project scope and structured onboarding
- Potential for longer-term, recurring engagement
Screening process
Our process is brief and straightforward. After applying, you will:
- Complete a short AI-based interview
- Submit a brief, practical assessment focusing on DevOps reasoning and methodology
- Complete a compliance check to verify professional background and identity
After a successful selection and onboarding, you’ll be eligible to start on upcoming projects as they become available.