DevOps Engineer - AI Model Evaluator
Mercor
Wien, Austria
28 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€176,800.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Engineering
Continuous Integration
Cursor (Graphical User Interface Elements)
DevOps
Reliability Engineering
Datadog
Google Cloud
Kubernetes
Infrastructure Automation Frameworks
+1 more
Terraform
Job description
- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, and infrastructure automation.
- Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
- Compare outputs from multiple frontier models to assess strengths and weaknesses.
- Apply professional engineering judgment to realistic infrastructure engineering scenarios.
Requirements
Must-Have
- 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
- Regular use of AI coding agents like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated infrastructure and reliability engineering solutions.
Preferred
- Experience supporting production-scale systems.
About the company
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.
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