AI Frontier DevOps Engineer: Model Evaluator

Mercor; Helsinki; On-site; EUR 143,000 - 238,000; Part time

Job summary

Mercor seeks contributors to evaluate frontier AI coding models by performing infrastructure engineering tasks and detailed reviews of model-generated code. You will assess cloud deployments, Kubernetes, CI/CD, and observability outputs while identifying bugs and edge cases.

This role requires hands-on experience and strong engineering judgment in production-like environments. Applicants should have 2+ years in DevOps/SRE/Cloud and familiarity with multiple cloud platforms, Kubernetes,

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.
• 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.

Skills

DevOps

SRE

Cloud engineering

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD

Observability

AI coding agents

Job description

Mercor seeks contributors to evaluate frontier AI coding models by performing infrastructure engineering tasks and detailed reviews of model-generated code. You will assess cloud deployments, Kubernetes, CI/CD, and observability outputs while identifying bugs and edge cases.

This role requires hands-on experience and strong engineering judgment in production-like environments. Applicants should have 2+ years in DevOps/SRE/Cloud and familiarity with multiple cloud platforms, Kubernetes,