DevOps Engineer - AI Model Evaluator
New
M
MercorAI evaluation, cloud infrastructure
Source API remote eligibility restrictions: United States; Location: RemoteContractJunior
Salary$85/hour; $400 per accepted task
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Job Details
- Experience
- 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
- Required Skills
- AWSKubernetesAzureDevOpsTerraform
Requirements
- Have 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
- Have experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
- Use AI coding agents regularly, such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Be able to evaluate model-generated infrastructure and reliability engineering solutions.
- Experience supporting production-scale systems is preferred.
Responsibilities
- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
- Identify bugs, edge cases, reliability issues, and failure modes.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic infrastructure engineering scenarios.
- Work independently and asynchronously to meet sprint-based project deadlines.
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