DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the learning, evaluation, and optimisation of AI and Large Language Model (LLM) systems that focus on DevOps engineering workflows. In this role you will review, annotate, validate and rank DevOps‑related datasets, infrastructure configurations and automation scripts to improve AI model understanding of real‑world DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets.
• Evaluate CI/CD pipeline configurations and provide feedback.
• Review deployment scripts and cloud infrastructure setups.
• Label monitoring, logging and system reliability scenarios.
• Validate container orchestration and automation workflows.
• Deliver quality feedback on DevOps engineering outputs to improve AI models.

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.
• Containerisation 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.