DevOps Engineer - AI Model Evaluator

About the Role

No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.

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• Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
  
• Contributors help evaluate and improve frontier AI coding models through structured technical assessments.
  
• The work focuses on realistic infrastructure engineering workflows and model evaluation.
  
• Spots are limited and filling quickly on a first come, first serve basis.
  

What You'll Do

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• 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.
  
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  
• Apply professional engineering judgment to realistic infrastructure engineering scenarios.
  

Time Commitment

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• Sprint based project that runs in 12-24 hour stretches based on client requirement.
  

Compensation

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• $400 per accepted task.
  
• Typical tasks take approximately 2–3 hours after ramp-up.
  
• Compensation is tied to accepted work.
  

Who Should Apply

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• 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. xcskxlj
  
• Experience supporting production-scale systems is preferred.
  

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