DevOps Engineer AI Model Evaluator AI Trainer
Job Location:
Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 DAngelo 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 2030 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.
#hiringmercor
