DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the learning, evaluation, and optimization of AI and Large Language Model (LLM) systems. In this role you will help improve AI model understanding of DevOps practices by reviewing, annotating, and validating a variety of DevOps‑related datasets and automation artifacts.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets.
• Evaluate CI/CD pipeline configurations and deployment scripts.
• Review cloud infrastructure setups and label monitoring, logging, and reliability scenarios.
• Validate container orchestration and automation workflows.
• Provide quality feedback on DevOps engineering outputs.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum 3 years of hands‑on experience in DevOps engineering.
• Relevant certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), Microsoft 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.
• Linux system administration and shell scripting.
• Monitoring and observability tools: Datadog, ELK Stack, Grafana, Prometheus.