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Infrastructure Engineer AI Trainer

Mercor


Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer
Posted: 11 November 2026 (11 hours ago)
Application Deadline: 8 February 2027
Vacancies: 1 Vacancy

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 / Infrastructure Engineer
Type: Contract
Compensation: $80$120/hour
Location: Remote

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in DevOps and infrastructure engineering cloud platforms and reliability and observability topics.
  • Design challenging domain-relevant tasks and write accurate and well-structured solutions to DevOps and infrastructure engineering problems.
  • Evaluate DevOps and infrastructure engineering tasks and solutions and provide clear written technical feedback.
  • Build and evaluate realistic infrastructure tasks such as Kubernetes manifests Terraform modules CI/CD pipelines and incident debugging scenarios.
  • Develop rubrics to assess infrastructure design security posture reliability and cost tradeoffs.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 4 years of dedicated professional experience in DevOps SRE platform or infrastructure engineering at a recognized top-tier organization.
  • Hands-on production experience with Kubernetes and containers (Docker) and infrastructure as code (Terraform Pulumi or CloudFormation).
  • Deep experience with at least one major cloud provider (AWS GCP or Azure) and CI/CD tooling (GitHub Actions Jenkins ArgoCD or similar).
  • Strong scripting skills in Python Bash or Go.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 20 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

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.



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