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 , 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.

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 like 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 is 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