DevOps & cloud AI training jobs
There are 23 open AI training and expert data roles in DevOps and cloud infrastructure across the four platforms we refer to. 21 of them publish a rate up front.
The work involves evaluating, correcting and grading AI model output within DevOps and cloud infrastructure — you are paid for professional judgement in your own field, and the roles are remote.
Open roles right now
| Role | Platform | Rate | |
|---|---|---|---|
| AWS Engineer | Micro1 | $65-$120/hour | Apply |
| AWS Specialist | SuperAnnotate | Up to $20 / hr | Apply |
| Azure DevOps Engineer | Micro1 | Upto $200 | Apply |
| Cloud / DevOps Engineer (Infra & IaC) | Mercor | $75 - $110 / hour | Apply |
| Cloud Engineer – AI Training | Handshake AI | Up to $125/hr | Apply |
| Cloud Engineer – AI Training | Ethos AI | Up to $125/hr | Apply |
| DevOps / Platform Engineer Talent Network | Mercor | $70 - $150 / hour | Apply |
| DevOps Engineer | Micro1 | $65-$120/hour | Apply |
| DevOps Engineer | Micro1 | $65-$120/hour | Apply |
| DevOps Engineer | Micro1 | $50-$100/hour | Apply |
| DevOps Engineer - US (Full Time Role) | Micro1 | Upto $200 | Apply |
| DevOps Engineer - cloud-native infrastructure management | Micro1 | $75-$130/hour | Apply |
| DevOps Engineer – AI Training | Handshake AI | Up to $125/hr | Apply |
| DevOps Engineer – AI Training | Ethos AI | Up to $125/hr | Apply |
| Director of Infrastructure Engineering | Micro1 | Upto $200 | Apply |
| GCP DevOps Engineer | Micro1 | Upto $200 | Apply |
| Incident management / reliability / SRE Evaluator | Mercor | $80 - $120 / hour | Apply |
| Infrastructure Engineer | Micro1 | $20-$70/hour | Apply |
| SRE / Incident Ops Expert (AI Data Trainer) | SuperAnnotate | Up to $40 | Apply |
| Senior Platform Engineer | Micro1 | $60-$130/hour | Apply |
| Ubuntu/Linux User for AI Data Training | SuperAnnotate | Up to $20 / hr | Apply |
| DevOps Engineer(Azure) | Turing | Shown on listing | Apply |
| Dockerfile Data Validation Engineer | Turing | Shown on listing | Apply |
What the work involves
Across DevOps and cloud infrastructure, tasks generally fall into a few types: comparing two model answers and justifying which is better, correcting an answer that is subtly wrong, writing hard problems from real practice that models currently fail, and writing reference answers that show the reasoning.
The written justification is the deliverable. Being right matters less than being able to explain precisely why the alternative is wrong.
Who qualifies
Platforms screen on demonstrated practice in DevOps and cloud infrastructure — years of work, tools used, scale handled and the specificity of what you can describe. Most tracks then run an AI-led interview followed by a domain assessment.
How to prepare for the interview →
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Common questions
How many devops & cloud AI training jobs are open?
23 roles in DevOps and cloud infrastructure are currently open across Mercor, Micro1, SuperAnnotate and Handshake AI, of which 21 publish a rate. The board is rebuilt as listings change.
What do devops & cloud AI training jobs pay?
Rates vary by platform, seniority and how scarce the specialism is. 21 of the 23 currently open roles in this category publish a rate, and those are shown in the table above.
Do I need AI experience for devops & cloud AI training work?
No. Platforms are buying your expertise in DevOps and cloud infrastructure. Familiarity with AI tools helps you work faster but is rarely the screening criterion.