DevOps Engineer - AI Model Evaluator
mercor · Remote — Kosovo
Remote$85.00 per hour
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Sign inJob overview
- Location
- Remote — Kosovo
- Workplace
- Remote
- Employment type
- Full-time
- Experience level
- Mid level
- Salary
- $85.00 per hour
- Date posted
- Oct 11, 2026
- Last checked at the source
- Oct 11, 2026
- Job source
- via Himalayas
Requirements
• 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.
Skills
- Machine Learning
- AWS
- Azure
- Google Cloud
- Kubernetes
- Terraform
- CI/CD
- DevOps
Visa and relocation
The posting doesn't mention visa sponsorship. Check the original posting or ask the company.
The posting doesn't mention relocation.
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, 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
DevOps-Engineer, Site-Reliability-Engineer, SRE, Cloud-Engineer, Platform-Engineer, AI-DevOps-Engineer, AI-Evaluation-Engineer, AI-Model-Evaluation-Specialist, Senior-DevOps-Engineer-AI-ML, AI-Model-Evaluator, ML-Evaluation-Engineer, AI-ML-Ops-Engineer, AI-Evaluation-Analyst
Apply on the original site ↗Job source: via Himalayas
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