DevOps Engineer

AI Trainer Jobs; United States; Remote; USD 69,000 - 207,000; Full time

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

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DevOps Engineer
Computer Science
Related Skills

No related skills for this job.

Available in

All Countries

About the Role

We are looking for DevOps engineers to help train and evaluate AI models on infrastructure, deployment and reliability work. You will build and validate infrastructure and CI/CD tasks and review AI-generated configurations and scripts for correctness and security.

Key Responsibilities

• Build and validate infrastructure-as-code and CI/CD tasks (Docker, Kubernetes, Terraform) 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, take part in calibration and review sessions, and incorporate feedback to keep quality consistent.

Who We're Looking For

Required 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 (for example GitHub Actions, GitLab CI or Jenkins).
• Infrastructure-as-code experience (Terraform or similar) and Kubernetes fundamentals.
• Fluent written English.
• Reliable, detail-oriented, and able to work independently and meet deadlines in a remote setting.

Preferred Qualifications

• Cloud certification (AWS, GCP or Azure).
• Kubernetes in production.
• Security hardening and observability experience.

Legal and Compliance Notice

All content you submit must be lawful, and you must have the right to share it.
Do not submit confidential or proprietary material belonging to an employer, client or third party, or personal data without a lawful basis.
Rex may verify identity, credentials, ownership and licensing; may reject or remove any submission; and may report unlawful submissions to the relevant authorities.
Engagement and payment are subject to successful verification and to applicable sanctions, export-control, tax and employment laws.
The contractor agreement will set out ownership and licence terms for the work you deliver (to be confirmed by Rex Legal).

Compensation

USD $50–150 per hour, adjusted by country of residence.