DevOps Engineer - AI Model Evaluator - AI Trainer

mercor; United States; Remote; USD 120,000 - 210,000; Full time

Benefits offered by this job

Remote work

Contract role

Competitive hourly rate

Job summary

Mercor, a San Francisco-based AI infrastructure company, seeks a DevOps/SRE/Cloud Engineer (Coding Agent Experience) on a contract basis. You will work remotely with frontier AI coding agents to design, implement, and review cloud tasks using AWS, Azure, GCP, Kubernetes, Terraform, and CI/CD tooling.

The role emphasizes evaluating model-generated outputs, ensuring reliability, and collaborating with autonomous agents to deliver production-ready solutions. Remote, US-focused.

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 like 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 tasks.
• Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, 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 scenarios.

Skills

2+ years DevOps/SRE/Cloud

AWS/Azure/GCP

Kubernetes

Terraform

CI/CD tooling

Observability tooling

AI coding agents

Tools

Kubernetes

Terraform

CI/CD

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)

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 , 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.

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

Preferred Qualifications

• Experience supporting production-scale systems.

Compensation & Legal

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