DevOps Engineer
Core
Design realistic DevOps tasks based on production-style scenarios, write working reference solutions, and review AI-generated output to improve future task design.
Role type
Contractor DevOps Engineer (AI training data generation)
Builds
Production-style DevOps scenarios and reference solutions for AI training
Domain
Cloud Infrastructure / AI Training Data
Deliverable
production ML models
Required skills
CI/CD pipelines, Container orchestration, Infrastructure as Code, Python, Go, Bash, TypeScript, Linux administration, Git workflows
Preferred skills
Observability stack, Security and secrets management, Open source contributions, Technical writing, AI model evaluation
Technologies
GitHub Actions, GitLab CI, Jenkins, Docker, Kubernetes, AWS, GCP, Azure, Terraform, Ansible, Pulumi, CloudFormation, Prometheus, Grafana, Datadog, OpenTelemetry
Responsibilities
Design realistic DevOps tasks based on production-style scenarios, Write working reference solutions with clear setup and validation steps, Review AI-generated output and write precise corrections, Maintain quality bar on correctness and reproducibility, Share structured feedback to improve future task design
