DevOps & Infrastructure Engineer -- AI Code Evaluation & Training (Remote)

Job Description

Job Description

Now prioritizing engineers with infrastructure and automation experience!

List of accepted countries and locations

If you're comfortable working with IaC tools, build systems, or CI/CD pipelines—and you enjoy reviewing and explaining code—we’d love to hear from you.

Help train large-language models (LLMs) to write production-grade infrastructure code.

You’ll play a key role in the human feedback loop:

• Compare & rank IaC scripts or automation logic, explaining which is best and why

• Repair & refactor AI-generated Bash, Terraform, and config files for correctness and efficiency

• Inject feedback (ratings, edits, test results) into the RLHF pipeline to keep it running smoothly

End result: The model learns to provision, configure, and automate the way you do.

What You’ll Need

• 3+ years of professional experience in DevOps, SRE, or platform engineering

• Proficiency in one of more of the following Bash, Shell, Terraform, YAML, HCL, or CMake

• Strong instincts for debugging and refactoring automation code

• Excellent written communication—explaining why it matters a lot here

• Comfort working in an async, low-oversight environment

What You Don’t Need

• No prior RLHF (Reinforcement Learning with Human Feedback) or AI experience

• No deep machine learning background—we’ll teach you how the system works

Tech Stack

Python for core tasks; IaC, shell, and build tooling are your domain.

Logistics

• Location: Fully remote — work from anywhere

• Compensation: $30–$70/hr depending on location and seniority

• Hours: Minimum 15 hrs/week, up to 40 hrs/week available

• Engagement: 1099 contract

Straightforward impact. Zero fluff.
If this sounds like a fit, apply here!