We are sharing a specialised consulting opportunity for experienced DevOps, SRE, Platform, and Infrastructure Engineers with strong expertise in Kubernetes, Terraform, CI/CD, Python, Linux, cloud infrastructure, and infrastructure as code to contribute to an advanced AI training and technical evaluation project.
Selected professionals will design realistic DevOps tasks based on production-style scenarios, build working reference solutions, evaluate AI-generated technical outputs, and provide precise corrections grounded in practical infrastructure engineering. The work requires strong coding ability, hands-on cloud and platform experience, and a high standard for correctness and reproducibility. No prior experience in AI is required.
Key Responsibilities
DevOps Scenario & Task Design
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Design realistic technical tasks based on production-style DevOps environments
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Create scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response
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Ensure tasks reflect practical engineering constraints rather than purely theoretical exercises
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Define clear expected outcomes and validation criteria
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Maintain technical realism across infrastructure and platform-engineering workflows
Reference Solutions & Reproducibility
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Write working reference solutions for DevOps and infrastructure tasks
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Provide clear setup, execution, and validation steps
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Build reproducible solutions that can be verified consistently
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Document assumptions, dependencies, and environment requirements
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Maintain a strict quality bar for technical correctness
AI Output Review & Technical Evaluation
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Review AI-generated solutions to DevOps and infrastructure problems
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Identify technical failures, incorrect assumptions, and incomplete implementations
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Write precise corrections explaining both the issue and the appropriate solution
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Evaluate outputs for correctness, reliability, and operational viability
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Provide structured feedback that improves future task and evaluation quality
Cloud, Containers & Infrastructure as Code
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Work with Docker, Kubernetes, and modern containerised infrastructure
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Design or evaluate CI/CD workflows using platforms such as GitHub Actions, GitLab CI, or Jenkins
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Apply Infrastructure as Code using Terraform, Ansible, Pulumi, CloudFormation, or comparable tools
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Work across at least one major cloud platform such as AWS, GCP, or Azure
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Apply strong Linux and Git practices across technical workflows
Platform Reliability & Engineering Quality
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Assess infrastructure solutions for scalability, reliability, maintainability, and security
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Diagnose deployment, configuration, or automation failures
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Incorporate observability and operational best practices where relevant
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Maintain consistent standards across production-style engineering tasks
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Contribute structured feedback that supports continuous improvement of technical evaluation frameworks
Ideal Profile
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3+ years of professional experience in DevOps, SRE, Platform Engineering, Infrastructure Engineering, or a closely related role
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Strong coding ability in Python, Go, Bash, TypeScript, or comparable languages
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Ability to work with real application and infrastructure code rather than relying solely on basic scripting
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Practical experience with CI/CD systems such as GitHub Actions, GitLab CI, or Jenkins
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Strong experience with Docker and Kubernetes
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Hands-on experience with at least one major cloud platform, including AWS, GCP, or Azure
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Infrastructure as Code experience with Terraform, Ansible, Pulumi, CloudFormation, or comparable tooling
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Advanced Linux and Git proficiency
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Strong written and spoken English
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Experience with observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry is advantageous
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Security, secrets-management, or platform-reliability experience is beneficial
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Open-source contributions or technical-writing experience are valued
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Previous AI-training or model-evaluation experience is beneficial but not required
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No prior experience in AI is required
Engagement Details
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Independent contractor engagement
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Fully remote
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Compensation: $50–$100/hour
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Minimum availability: approximately 20 hours per week
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Work will involve DevOps task design, reference-solution development, AI-output evaluation, cloud infrastructure, CI/CD, containers, and Infrastructure as Code
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Strong coding ability and hands-on infrastructure experience are central to this engagement
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Assignments may involve Kubernetes, Terraform, Linux, Git, Docker, cloud platforms, monitoring, and incident-response scenarios
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Project scope, workload, technical focus, and evaluation standards may evolve depending on project requirements
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Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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