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DevOps Engineer

DataAnnotation DataAnnotation ContractRemote
Posted Oct 8, 2026 · ✓ Still open — checked 5 hours ago

Quick facts

Type
Contract
Location
Remote
Skills
Docker, Kubernetes
Platform
DataAnnotation — 112 open jobs
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Free to apply — never pay to get AI training work

Pay: up to $40 – $150+ /hour (depends on task difficulty and specialization)

Location: Remote · Type: Independent contractor · Hours: Flexible hours · Payouts: Weekly

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 $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.

How it works

Apply, pass the qualification assessment, then pick up paid projects whenever you want and get paid weekly.