DevOps Engineer - AI Model Evaluator
Mercor
/job-details/8292
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**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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
*PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
**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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
*PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
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