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Description de l'offre

DevOps Engineer - AI Model Evaluator à Paris, France

Mercor

  • À distanceTravaillez de n'importe où
  • ContratDurée déterminée ou freelance

85 $/heure

Paris, France

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.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.
  • Work independently and asynchronously to meet sprint-based project deadlines.

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 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: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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