DevOps Engineer – Data Annotation Specialist

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the creation and refinement of AI and large language model datasets focused on DevOps workflows. In this role you will bridge the gap between infrastructure engineering and machine learning by labeling, validating, and ranking real‑world DevOps artifacts.

Key responsibilities

• Annotate infrastructure‑as‑code files, automation scripts, and CI/CD pipeline configurations.
• Review and label deployment scripts, cloud‑resource definitions, and container orchestration workflows.
• Provide quality feedback on monitoring, logging, and reliability scenarios.
• Validate and rank datasets to improve AI model understanding of DevOps practices.
• Collaborate with data scientists and engineering teams to ensure annotation consistency.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum three years of hands‑on experience in DevOps engineering.
• Strong knowledge of Linux system administration and shell scripting.
• Relevant certifications such as AWS Certified DevOps Engineer, CKA, Azure DevOps Engineer Expert, or Google Professional DevOps Engineer.

Required skills

• CI/CD tools: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions.
• Containerization and orchestration: Docker, Kubernetes.
• Cloud platforms: AWS, Azure, Google Cloud Platform.
• Monitoring and observability: Datadog, ELK Stack, Grafana, Prometheus.