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Role Title: DevOps Engineer
Role Type: Contractor
Location: Remote
DevOps Engineers to contribute to a dynamic customer project focused on scalable, modern cloud infrastructure. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals passionate about automation, infrastructure as code, and continuous improvement, with a special focus on strong written and verbal communication skills.
Key Responsibilities
Design realistic DevOps tasks based on production-style scenarios (CI/CD, containers, orchestration, IaC, monitoring, incident response)
Write working reference solutions with clear setup and validation steps
Review AI-generated output, identify failures, and write precise corrections with reasoning
Maintain a strict quality bar on correctness and reproducibility
Share structured feedback that improves future task design
Required Qualifications
3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure engineering
Strong coding ability in Python, Go, Bash, or TypeScript (this role needs real code, not scripts alone)
Practical depth in CI/CD (GitHub Actions, GitLab CI, Jenkins), Docker, Kubernetes, and at least one cloud (AWS, GCP, Azure)
Infrastructure as Code experience (Terraform, Ansible, Pulumi, or CloudFormation)
Advanced Linux and Git
Professional English, written and spoken
Availability of at least 20 hours per week
Preferred Qualifications
Observability stack experience (Prometheus, Grafana, Datadog, OpenTelemetry)
Security, secrets management, or platform reliability background
Open source contributions or technical writing
Previous AI training data or model evaluation work
