Cloud Engineer Expert (English)

Create realistic cloud infrastructure and automation scenarios that test how well AI models handle professional engineering work. Write reference answers explaining your architectural choices, then review model-generated solutions.

• Create scenarios covering cloud architecture design through incident response.
• Evaluate solutions for correctness, security, and cost efficiency.
• Spot configurations that seem plausible but could fail or overspend in production.

What it pays and takes

• Pay: $85 to $165 per hour, paid weekly through Stripe.
• Work arrangement: Fully remote, asynchronous independent contractor work.
• Schedule: At least 10 hours per week; you can scale your weekly contribution up or down.
• Location: Open to candidates in eligible countries listed for the role.
• Required experience: At least two years of professional cloud engineering experience with AWS, Azure, or GCP.
• Required skills: Hands-on infrastructure as code experience with Terraform, CloudFormation, or a similar tool; depth in at least one area such as networking, containers, serverless, or cost optimization; strong written English.
• Helpful background: AWS Solutions Architect, Azure Administrator, GCP Professional, or comparable certification; Kubernetes or other container orchestration experience; multi-cloud or large-scale migration experience.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses examples prepared and reviewed by people to help AI systems learn. Cloud experts help by judging whether AI-generated answers reflect sound real-world engineering.