DevOps Engineer for AI Model Training

Apply hands-on DevOps and infrastructure engineering expertise to help improve next-generation AI systems through realistic technical tasks, working reference solutions, and rigorous evaluation of AI-generated output. This remote contract role centers on production-style cloud infrastructure, automation, infrastructure as code, reliability, and clear technical communication. Prior AI experience is not required. Key Responsibilities

• Design realistic DevOps tasks based on production-style scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response.
• Write functional reference solutions with clear setup instructions and validation steps.
• Review AI-generated output, identify technical failures, and provide precise corrections with supporting reasoning.
• Maintain a high standard for technical correctness, reproducibility, and solution quality.
• Provide structured feedback that helps improve future task design and AI system performance.

• 3+ years of professional experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering.
• Strong coding ability in Python, Go, Bash, or TypeScript. The work requires production-quality coding ability beyond scripting alone.
• Practical expertise with CI/CD platforms such as GitHub Actions, GitLab CI, or Jenkins.
• Hands-on experience with Docker and Kubernetes.
• Experience with at least one major cloud platform: AWS, GCP, or Azure.
• Infrastructure as Code experience using Terraform, Ansible, Pulumi, or CloudFormation.
• Advanced Linux and Git skills.
• Professional written and spoken English communication skills.
• Ability to commit at least 20 hours per week.

• Experience with observability technologies such as Prometheus, Grafana, Datadog, or OpenTelemetry.
• Background in security, secrets management, or platform reliability.
• Open source contributions or technical writing experience.
• Previous experience with AI training data or model evaluation.

• Remote contract engagement.
• Minimum availability of 20 hours per week.
• Work is performed as part of a customer project focused on scalable, modern cloud infrastructure and AI system improvement.

Hourly compensation ranges from $50 to $100.

Candidates should have professional English proficiency and the required DevOps, infrastructure, coding, cloud, and Linux experience. Previous AI experience is not required.

Candidates can apply through the provided online application flow, using email or supported Google or LinkedIn sign-in options to continue the application.