DevOps Engineer - AI Model Evaluator

Mercor; San Francisco (CA); Hybrid; MXN 1,745,000 - 2,492,000; Full time

Benefits offered by this job

Remote

Job summary

Mercor is seeking a DevOps/SRE/Cloud Engineer (Coding Agent Experience) in a contract role. This position offers remote work and requires hands-on experience with cloud platforms and modern automation practices.

You will use frontier AI coding agents to tackle infrastructure tasks, review model-generated deployments, and ensure reliability across Kubernetes, CI/CD, and observability tooling. Compensation is task-based with performance-driven rewards.

Qualifications

• 2+ years of professional DevOps/SRE/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 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

Model evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

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)
• Contract
• $85/hour
• 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.

Resources & Support

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