DevOps Engineer - AI Model Evaluator

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.

Application Process (Takes 20–30 mins to complete)

• Upload resume

• AI interview based on your resume

• Submit form

Resources & Support

• For details about the interview process and platform information, please check:

• For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas