For DevOps and SRE engineers with 3+ years: help train AI models by building Docker, Kubernetes and Terraform tasks and reviewing AI-generated configs and pipelines for correctness and security. $50–$150/hr.
DevOps Engineer
Australia, Canada, Ireland +3
$40 – $150/hr
September 22, 2026
Job description
Overview
A model will hand you a pipeline and an infrastructure change that apply cleanly and quietly leave a security group open to the world, a state file that will corrupt on the next run, and a rollback path that does not exist. In production those mistakes page someone at 3am. Reasoning about the whole system is the job.
As a DevOps Engineer you'll evaluate how models handle CI/CD, infrastructure-as-code, and cloud operations, expose where their automation breaks, and write the answers a strong platform engineer would trust.
What you’ll actually do
- Probe infrastructure reasoning across CI/CD, infrastructure-as-code, containers, and cloud config, and see where the model's automation falls apart.
- Find the failures that matter: insecure defaults, broken state, missing rollbacks, and changes that pass CI and break prod.
- Write the correct approach when the model falls short, with failure modes and recovery made explicit.
Roles this fits
Common backgrounds: DevOps Engineer, Site Reliability Engineer, Platform Engineer.
What we look for
- Hands-on experience running CI/CD, infrastructure-as-code, or cloud operations.
- Comfort with a major cloud and tools like Terraform, Kubernetes, or Docker.
- Clear written English: your explanations are the training signal.
- No degree required. We care about what you can do, not where you learned it.
How it works
Apply
Qualify
Work & get paid
Compensation
Up to $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Available regions
Each region below is open to applicants in that country only. Apply through the link for your region.
Apply now
Opens dataannotation.tech in a new tab. If they ask how you found the role, mention RemoWork.
Project Overview We are sourcing experienced technical specialists in AWS Serverless and Infrastructure as Code to audit tasks used to train and evaluate AI systems.
Project Overview We are sourcing experienced technical specialists in AWS Trainium and Neuron Kernel Interface (NKI) to audit tasks used to train and evaluate AI systems.
We are sorcing experienced technical specialists in Kubernetes to audit tasks used to train and evaluate AI systems. The objective of this project is to ensure that AI training workflows and tasks are technically rigorous, practical, and highly accurate within your specific area…