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Cloud Infrastructure Specialist (AWS, Google Cloud)

Workada Workada ContractRemote (US, Canada) Typical on Workada: $50–150/hr
Posted Nov 11, 2026 · ✓ Still open — checked 8 hours ago
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Quick facts

Type
Contract
Location
Remote (US, Canada)
Skills
AWS
Platform
Workada — 20 open jobs
Typical pay at Workada
$50–150/hour · median $100 (6 jobs on our site)
Payout
Stripe (3 times a week)
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Free to apply — never pay to get AI training work

What you'll do

  • Provision and configure resources (networking, compute, storage, IAM) in the AWS or Google Cloud console
  • Set up monitoring, alerts, or access policies for a small environment
  • Troubleshoot a misconfiguration and document the fix
  • Submit an export of your configuration or a written runbook as the file
  • Work at your normal professional pace and quality, the way you would for a real client or employer

Who we're looking for

  • At least 2 years of hands-on work in AWS or Google Cloud; a current cloud certification is a plus
  • Your own working access to AWS or Google Cloud (a personal, trial, or sandbox account is fine)
  • A Mac (Apple Silicon or Intel) or Windows computer you can install software on
  • Willingness to install our recording app, Bloom, and grant it Screen Recording and Accessibility permissions
  • Ability to complete identity verification
  • Use only sample data or data you own: no confidential employer or client information on screen
  • Do this work in a personal or sandbox account, and keep keys, secrets, and account identifiers off screen

How it works

  • Apply and select the tools you're strongest in.
  • If you're a fit, complete onboarding: identity verification, Workada Timer setup, Bloom setup, and accepting the contributor terms.
  • Open Bloom, start recording, and complete about an hour of real work in AWS or Google Cloud.
  • Submit the recording along with the file you produced.

What we offer

  • Fully remote, contract work you schedule around your life
  • Paid work that uses skills you already have
  • A chance to shape how AI learns to use professional software