DevOps Engineer - AI Model Evaluator

Mercor; Lacaussade; Sur place; EUR 84 000 - 119 000; Plein temps

Résumé du poste

Mercor is seeking a DevOps / SRE / Cloud Engineer on a contract basis to leverage frontier AI coding agents for infrastructure tasks. The role focuses on evaluating model-generated implementations across cloud platforms, Kubernetes, CI/CD, and observability tooling.

You will identify reliability issues, compare model outputs, and apply professional judgment to realistic infrastructure scenarios. Remote work is supported for this position.

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.
• Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Responsabilités

• 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 their strengths and weaknesses.
• Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Connaissances

DevOps experience

Cloud platforms

Kubernetes

Terraform

CI/CD pipelines

observability tooling

AI coding agents

evaluate model outputs

Outils

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Description du poste

About The Job

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.

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience)

Type: Contract

Compensation: $85/hour

Location: Remote

Role 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 their strengths and weaknesses.
• Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Qualifications

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 such as 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.

Compensation & Legal

• $400 per accepted task
• Compensation tied to accepted work.