DevOps Engineer Annotator

Job summary We are looking for a detailed-oriented DevOps Engineer Annotator to support the learning, evaluation, and optimization of Artificial Intelligence ( AI ) and Large Language Model (LLM) systems focused on DevOps engineering workflows. You will help in reviewing, annotating, validating, and ranking DevOps- related datasets and automation scripts. Min Qualification: Degree Experience Level: Senior level Experience Length: 5 years Job descriptions & requirements Responsibilities: Annotate infrastructure-as-code and automation datasets. Evaluate CI/CD pipeline configurations. Review deployment scripts and cloud infrastructure setups. Label monitoring, logging, and system reliability scenarios. Validate container orchestration and automation workflows. Provide quality feedback on DevOps engineering outputs. Requirements: Bachelor’s Degree in Computer Science, Software Engineering or related field. Minimum 5 years’ experience in DevOps Engineering. Proficiency with CI/CD tools such as Jenkins, GitLab CI/CD, CircleCI or similar Platforms and automation pipelines. Strong knowledge of containerization and orchestration with Docker, Kubernetes, Jenkins, and GitHub Actions. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Knowledge of infrastructure monitoring and security practices. Familiarity with Linux system administration expertise and shell scripting. Knowledge of monitoring and observability tools such as: Datadog, ELK Stack, Grafana, and Prometheus) Candidate must have certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), Microsoft Azure DevOps Engineer Expert, and Google Professional DevOps Engineer Remuneration: NGN 500,000 monthly