Remote DevOps Engineer for AI Model Evaluation

Mercor

Ireland

On-site

EUR 86,000 - 117,000

Full time

14 days+

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Job summary

Mercor is seeking a DevOps / SRE / Cloud Engineer (Coding Agent Experience) for a remote contract role. The job focuses on evaluating frontier AI coding agents to perform complex infrastructure tasks across cloud platforms including AWS/Azure/GCP, Kubernetes, and CI/CD pipelines.

You will review model-generated implementations and ensure reliability and scalability. Requirements include 2+ years in DevOps/SRE or Cloud Engineering, experience with cloud providers and Kubernetes, and familiarity

Qualifications

  • 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 such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated infrastructure and reliability engineering solutions.

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 in model outputs.
  • Compare outputs from multiple frontier models to assess strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Skills

DevOps/SRE Experience
Cloud Engineering
CI/CD Automation
Observability
AI Coding Agents

Tools

AWS
Azure
GCP
Kubernetes
Terraform
CI/CD Pipelines
Observability Tools

Job description

Mercor is seeking a DevOps / SRE / Cloud Engineer (Coding Agent Experience) for a remote contract role. The job focuses on evaluating frontier AI coding agents to perform complex infrastructure tasks across cloud platforms including AWS/Azure/GCP, Kubernetes, and CI/CD pipelines.

You will review model-generated implementations and ensure reliability and scalability. Requirements include 2+ years in DevOps/SRE or Cloud Engineering, experience with cloud providers and Kubernetes, and familiarity

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