DevOps Engineer (AI Training)

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.

Compensation Up to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

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Hourly rate up to $150+ / hour

Commitment Flexible hours

Type Independent contractor

Payouts Weekly

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