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DataAnnotation

DevOps Engineer

About this role

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 $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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