Key skills
CloudAIPerformance OptimizationCI/CDCollaboration
About this role
Role Overview
- 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
Requirements
- 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
Tech Stack
- Cloud
Benefits
- 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