DevOps Engineer

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.
Apply now