DevOps Engineer

Apply DevOps expertise to create high-quality, production-style tasks and reference solutions that help train next-generation AI systems. This remote contract opportunity is suited to engineers who enjoy automation, infrastructure as code, and continuous improvement. Key Responsibilities

• Design realistic DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response.
• Develop working reference solutions with clear setup and validation instructions.
• Review AI-generated outputs, identify failures, and provide precise, reasoned corrections.
• Maintain a high standard for correctness and reproducibility.
• Share structured feedback that strengthens future task design.

• At least 3 years of professional experience in DevOps, SRE, platform engineering, or infrastructure engineering.
• Strong coding ability in Python, Go, Bash, or TypeScript, including writing real code beyond scripts alone.
• Practical experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins, plus Docker, Kubernetes, and at least one cloud platform: AWS, GCP, or Azure.
• Infrastructure as code experience with Terraform, Ansible, Pulumi, or CloudFormation.
• Advanced Linux and Git skills.
• Professional written and spoken English communication skills.

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

• Remote independent contractor engagement.
• Availability of at least 20 hours per week.
• No prior AI experience is required.

$50 to $100 per hour.