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Infrastructure Specialist - Fully Remote | Upto $110/hr

Mercor

Role overview

Qualifications

  • 4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering.
  • Hands-on production experience operating Kubernetes, including diagnosing and repairing cluster failures.
  • Production experience with Infrastructure-as-Code, specifically Terraform and/or AWS CDK.
  • Direct experience integrating AWS services in production, including Lambda, API Gateway, and DynamoDB.

Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to cluster diagnosis, AWS service integration, and infrastructure automation problems.
  • Evaluate infrastructure engineering tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning across tasks.

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

Website LinkedIn See all jobs

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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: Cloud / DevOps Engineer (Infra & IaC)
Type: Contract
Compensation: $75–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to cluster diagnosis, AWS service integration, and infrastructure automation problems.
  • Evaluate infrastructure engineering tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering.
  • Hands-on production experience operating Kubernetes, including diagnosing and repairing cluster failures.
  • Production experience with Infrastructure-as-Code, specifically Terraform and/or AWS CDK.
  • Direct experience integrating AWS services in production, including Lambda, API Gateway, and DynamoDB.
  • Experience building and owning CI/CD pipelines.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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