AI & DevOps Data Annotator for CI/CD Systems

DevOps Engineer Annotator

Job Summary: We are 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. The DevOps Engineer Annotator will help in reviewing, annotating, validating, and ranking DevOps- related datasets, infrastructure configurations, automation scripts, focused on CI/CD pipelines, and cloud engineering outputs, and infrastructure management to improve AI model understanding of DevOps practices.

Job 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.

Job Requirements

- Bachelor’s Degree in computer science, Software Engineering or related field.

- Minimum 3 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, 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 Promethus)

- Candidate must have certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), Microsoft Azure DevOps Engineer Expert, and Google Professional DevOps Engineer

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