DevOps Engineer - AI Model Evaluator

Mercor
Berlin, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
€ 177K

Job location

Remote
Berlin, Germany

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Engineering
Continuous Integration
Cursor (Graphical User Interface Elements)
DevOps
Reliability Engineering
Datadog
Google Cloud Platform
Kubernetes
Infrastructure Automation Frameworks
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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