Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Platform Engineer involves working as a freelance professional in a remote capacity, specifically within the EU or UK, to enhance large AI systems. The position requires 8 to 20 hours of work per week, focusing on reviewing and refining AI-generated content related to platform engineering. Candidates should possess significant experience in designing and maintaining modern platforms, with a strong understanding of cloud infrastructure and DevOps practices. This role offers flexibility and the opportunity for long-term collaboration based on performance.
Key Responsibilities:
- Review and refine AI-generated responses, workflows, and technical explanations related to platform engineering.
- Evaluate outputs for architectural accuracy, technical validity, and real-world applicability.
- Draft realistic engineering scenarios involving cloud infrastructure, deployment pipelines, system reliability, and DevOps best practices.
- Assess AI reasoning in areas such as system scaling, performance optimization, security, and automation.
- Identify gaps, unrealistic solutions, or methodological flaws in AI outputs.
- Create scenario variations from the perspective of different stakeholders, such as engineer, operations, or management.
Key Skills:
- Experience as a platform engineer, DevOps specialist, or cloud infrastructure expert.
- Several years of experience designing, deploying, and maintaining modern platforms.
- Familiarity with tools, architectures, and methodologies in operations, CI/CD, automation, and cloud platforms.
- Ability to identify flaws, unrealistic assumptions, or technical errors in engineering solutions.
- Availability for 8 to 20 hours per week.
- Ability to start in the coming weeks.
Salary (Rate): £150.00/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)
Are you an experienced platform engineer ready to apply your expertise in a cutting-edge AI environment? Do you have 8 to 20 hours per week available alongside your current projects or consulting work? We are looking for freelance platform engineers based in the EU or UK to help improve large AI systems.
What You’ll Be Doing
We are 10x.team, a platform for fractional and freelance professionals. We partner with leading AI labs to improve advanced AI systems. Your Role Is Practical And High Impact.
- You Will Review and refine AI-generated responses, workflows, and technical explanations related to platform engineering
- Evaluate outputs for architectural accuracy, technical validity, and real-world applicability
- Draft realistic engineering scenarios involving cloud infrastructure, deployment pipelines, system reliability, and DevOps best practices
- Assess AI reasoning in areas such as system scaling, performance optimization, security, and automation
- Identify gaps, unrealistic solutions, or methodological flaws in AI outputs
- Create scenario variations from the perspective of different stakeholders, such as engineer, operations, or management
In Simple Terms
You will assess and improve AI-generated content to ensure it reflects real-world platform engineering standards and reasoning. Your work will directly advance the quality and impact of AI systems on engineering topics.
You Are Who this is for
- A platform engineer, DevOps specialist, or cloud infrastructure expert
- Based in the EU or UK
- With several years of experience designing, deploying, and maintaining modern platforms
- Familiar with tools, architectures, and methodologies in operations, CI/CD, automation, and cloud platforms
- Comfortable identifying flaws, unrealistic assumptions, or technical errors in engineering solutions
- Available 8 to 20 hours per week
- Able to start in the coming weeks
This role is fully remote and flexible—perfect alongside your other commitments.
Why join?
- Flexible hours
- Fully remote
- Apply your platform engineering expertise to advance AI
- Contribute to widely used AI products
- Clear project scope and structured onboarding
- Potential for long-term collaboration based on performance
Screening process
Our process is straightforward and fully guided. After applying, you will complete:
- A short AI-based interview
- A brief written evaluation focused on platform engineering methodology
- A compliance check to verify your identity and professional background
After a successful selection and onboarding, you’ll be eligible to start on upcoming projects as they become available.