Remote DevOps Engineer for AI Infra & CI/CD

AI Trainer Jobs

United States

Remote

USD 69,000 - 207,000

Full time

4 days ago
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Job summary

AI Trainer Jobs seeks a DevOps Engineer to help train and evaluate AI models on infrastructure, deployment and reliability work. You will build and validate infrastructure-as-code and CI/CD tasks, and review AI-generated configurations for correctness and security.

In this remote role, you will work with Docker, Kubernetes, Terraform and CI/CD pipelines, reproduce deployment issues and write step-by-step solutions.

Qualifications

  • Degree in computer science or a related field or equivalent experience.
  • 3+ years in DevOps or site reliability engineering.
  • Strong Linux, Docker and CI/CD experience with popular tools.
  • Infrastructure-as-code experience (Terraform or similar) and Kubernetes fundamentals.
  • Fluent written English and ability to work independently in a remote setting.

Responsibilities

  • Build and validate infrastructure-as-code and CI/CD tasks with reference solutions.
  • Evaluate AI-generated configurations, scripts and pipelines for correctness, security and maintainability.
  • Reproduce and diagnose deployment and reliability problems and write step-by-step solutions.
  • Review model advice on monitoring, incident response and cloud architecture for accuracy.
  • Write automated checks that verify solutions.
  • Give written feedback on common failure patterns.
  • Follow project guidelines, calibrate and review sessions, and incorporate feedback to keep quality high.

Skills

Degree in CS or related
DevOps/SRE experience
Linux
CI/CD
English fluency
Remote work discipline

Education

Degree in computer science or related field

Tools

Docker
Kubernetes
Terraform
GitHub Actions
GitLab CI
Jenkins

Job description

AI Trainer Jobs seeks a DevOps Engineer to help train and evaluate AI models on infrastructure, deployment and reliability work. You will build and validate infrastructure-as-code and CI/CD tasks, and review AI-generated configurations for correctness and security.

In this remote role, you will work with Docker, Kubernetes, Terraform and CI/CD pipelines, reproduce deployment issues and write step-by-step solutions.

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