DevOps AI Training And Code Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps people discover specialized projects, build a credible profile, and apply for opportunities that match their expertise.

Creating an OpenTrain account is free. As an OpenTrain contractor, you can develop a lasting portfolio of AI training work while contributing your professional knowledge to the systems shaping modern technology.

• Worldwide opportunity for qualified contractors
• Part-time contract engagement with 20+ hours per week
• Build an AI training portfolio around your technical expertise

About AI Training And Code Evaluation

AI training is the human side of building artificial intelligence. Specialists create examples, review model outputs, and provide clear feedback so AI systems can produce more accurate and useful results.

In this role, your DevOps knowledge will help evaluate infrastructure code and model responses against realistic engineering expectations. Your reviews will help improve how AI systems understand CI/CD, containers, cloud infrastructure, reliability, and operational practice.

• Apply real-world engineering judgment to AI-generated outputs
• Help make technical AI systems more accurate and reliable
• Work remotely with flexible hours in a rapidly growing field

The Role

OpenTrain is seeking a DevOps AI Training and Code Evaluation Expert to support work focused on DevOps code and model evaluation. You will use task specifications, reference solutions, and AI-generated infrastructure code to create structured training examples and deliver precise technical feedback.

The role is categorized as entry level in the listing, but it requires at least three years of professional experience in DevOps, SRE, platform engineering, or infrastructure engineering. Prior AI training experience is not required; strong practical DevOps knowledge is the most important qualification.

• Pay: $50-$100 per hour
• Time requirement: 20+ hours per week
• Engagement: Part-time contractor
• Work location: Worldwide
• Working language: Professional English

What You'll Do

You will design realistic DevOps tasks based on production-style scenarios and create working reference solutions that other reviewers can validate and reproduce. You will also assess AI-generated code and infrastructure outputs, explain failures, and recommend precise corrections.

The work requires a strict quality standard across repeated reviews. Your written reasoning and structured feedback will support better task design and help AI systems learn from dependable technical examples.

• Design tasks involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response
• Write working reference solutions with clear setup and validation steps
• Review AI-generated code and infrastructure outputs
• Identify failures and write precise corrections with supporting reasoning
• Provide structured feedback that improves future task design
• Maintain correctness and reproducibility across review tasks

Required Qualifications

You should bring strong hands-on DevOps expertise and the ability to communicate technical judgments clearly in professional English. Production-quality coding ability and practical experience across modern infrastructure tooling are essential.

• At least three years of professional experience in DevOps, SRE, platform, or infrastructure engineering
• Production-quality coding ability in Python, Go, Bash, or TypeScript
• Hands-on expertise with CI/CD, Docker, Kubernetes, and at least one major cloud platform
• Practical infrastructure as code experience
• Advanced Linux and Git knowledge
• Ability to create reproducible technical solutions
• Professional written and spoken English
• Careful attention to detail and ability to follow detailed project guidelines

Preferred Experience

The following experience is a plus and can help you contribute additional perspective to technical task design and model evaluation.

• Observability tools
• Security or secrets management
• Platform reliability
• Open source contributions
• Technical writing
• AI training or model evaluation

Why Work With OpenTrain

AI training and data-labeling work is one of the fastest-growing ways to work in technology. Contributors with specialized skills can help shape how advanced AI systems understand technical problems, evaluate solutions, and respond to real-world scenarios.

OpenTrain gives you one place to manage your AI training opportunities, present credible experience, and grow a portfolio around your skills. Create a free profile and apply for work that puts your DevOps expertise at the center of AI development.

• Remote work from anywhere with an internet connection
• Flexible part-time scheduling
• A chance to apply professional DevOps knowledge to cutting-edge AI
• A profile and portfolio that can support long-term AI training work