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

Job DescriptionJob 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- 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! #J-18808-Ljbffr