AI Model Evaluator for Frontier DevOps & Infra

Mercor; Amsterdam; On-site; EUR 167,000 - 215,000; Part time

Job summary

Mercor in Amsterdam collaborates with a leading AI research lab on Frontier Code Agents, evaluating and improving frontier AI coding models through structured technical assessments. You review cloud platforms, Kubernetes, CI/CD, observability, and infrastructure automation; identify bugs and edge cases; and compare outputs from multiple frontier models to assess strengths and weaknesses.

This sprint-based engagement runs 12–24 hour stretches per client requirements, with compensation tied to

Qualifications

• 2+ years of professional DevOps, SRE, or Cloud Engineering experience.

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.

Skills

DevOps

SRE

Cloud engineering

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD

Observability

Tools

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

Job description

Mercor in Amsterdam collaborates with a leading AI research lab on Frontier Code Agents, evaluating and improving frontier AI coding models through structured technical assessments. You review cloud platforms, Kubernetes, CI/CD, observability, and infrastructure automation; identify bugs and edge cases; and compare outputs from multiple frontier models to assess strengths and weaknesses.

This sprint-based engagement runs 12–24 hour stretches per client requirements, with compensation tied to