ZipRecruiter
DevOps & Infrastructure Engineer - AI Code Evaluation & Training (Remote)
ZipRecruiter, Boise, Idaho, United States, 83708
Job DescriptionJob Description
Now prioritizing engineers with infrastructure and automation experience!
Current top priority :
HCL
and
CMake
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!
Now prioritizing engineers with infrastructure and automation experience!
Current top priority :
HCL
and
CMake
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!