Remote | DevOps Engineer — \$50–\$100/hour

September 24, 2026

About the position

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.

Responsibilities

Design realistic technical tasks based on production-style DevOps environments
Create scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response
Ensure tasks reflect practical engineering constraints rather than purely theoretical exercises
Define clear expected outcomes and validation criteria
Maintain technical realism across infrastructure and platform-engineering workflows
Write working reference solutions for DevOps and infrastructure tasks
Provide clear setup, execution, and validation steps
Build reproducible solutions that can be verified consistently
Document assumptions, dependencies, and environment requirements
Maintain a strict quality bar for technical correctness
Review AI-generated solutions to DevOps and infrastructure problems
Identify technical failures, incorrect assumptions, and incomplete implementations
Write precise corrections explaining both the issue and the appropriate solution
Evaluate outputs for correctness, reliability, and operational viability
Provide structured feedback that improves future task and evaluation quality
Work with Docker, Kubernetes, and modern containerised infrastructure
Design or evaluate CI/CD workflows using platforms such as GitHub Actions, GitLab CI, or Jenkins
Apply Infrastructure as Code using Terraform, Ansible, Pulumi, CloudFormation, or comparable tools
Work across at least one major cloud platform such as AWS, GCP, or Azure
Apply strong Linux and Git practices across technical workflows
Assess infrastructure solutions for scalability, reliability, maintainability, and security
Diagnose deployment, configuration, or automation failures
Incorporate observability and operational best practices where relevant
Maintain consistent standards across production-style engineering tasks
Contribute structured feedback that supports continuous improvement of technical evaluation frameworks

Requirements

3+ years of professional experience in DevOps, SRE, Platform Engineering, Infrastructure Engineering, or a closely related role
Strong coding ability in Python, Go, Bash, TypeScript, or comparable languages
Ability to work with real application and infrastructure code rather than relying solely on basic scripting
Practical experience with CI/CD systems such as GitHub Actions, GitLab CI, or Jenkins
Strong experience with Docker and Kubernetes
Hands-on experience with at least one major cloud platform, including AWS, GCP, or Azure
Infrastructure as Code experience with Terraform, Ansible, Pulumi, CloudFormation, or comparable tooling
Advanced Linux and Git proficiency
Strong written and spoken English

Nice-to-haves

Experience with observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry is advantageous
Security, secrets-management, or platform-reliability experience is beneficial
Open-source contributions or technical-writing experience are valued
Previous AI-training or model-evaluation experience is beneficial but not required

Benefits

Independent contractor engagement
Fully remote
Compensation: \$50–\$100/hour
Minimum availability: approximately 20 hours per week

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