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Cloud Engineering & AI Instructor

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Remote

Cloud Engineering & AI Instructor

Earlston Academy

Cloud Engineering & AI Instructor

Skills

Google Cloud PlatformDockerMachine LearningAIAWSKubernetesContent StrategyCloud ArchitectTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Remote

Published on:

26 September 2026

What they need


This is a remote position.

Remote | Contract / Cohort-Based

Earlston Academy is looking for an experienced Cloud Engineering & AI Instructor to join our instructor network and lead career-focused, cohort-based training.

This role is ideal for an experienced cloud engineer who is actively working with cloud infrastructure, DevOps, and AI technologies and wants to help students develop practical, job-ready skills.

What You'll Do

  • Create and maintain Cloud Engineering and AI course content.
  • Lead engaging live online sessions for assigned cohorts.
  • Teach practical cloud infrastructure, DevOps, and AI concepts.
  • Develop hands-on cloud projects, labs, exercises, and assessments.
  • Demonstrate real-world cloud architectures, deployments, automation, and AI solutions.
  • Teach students how to build, secure, deploy, monitor, and scale cloud environments.
  • Mentor students and provide constructive technical feedback.
  • Keep course content current with evolving cloud platforms, DevOps practices, and AI technologies.

Areas of Expertise

AWS | Azure | Google Cloud | Cloud Architecture | DevOps | Kubernetes | Docker | Terraform | CI/CD | Infrastructure as Code | Cloud Security | Site Reliability Engineering | Serverless | Cloud Networking | AI/ML | Generative AI | LLMs | AI Infrastructure | Cloud AI Services

Application

Applicants must submit a short video assessment demonstrating their ability to teach a cloud engineering or AI concept.

Requirements

  • Currently working as a Cloud Engineer, Cloud Architect, DevOps Engineer, Site Reliability Engineer, Cloud AI Engineer, or closely related role.
  • 7+ years of professional experience.
  • Current, relevant cloud or technology certification(s).
  • Strong professional experience with AWS, Azure, or Google Cloud.
  • Strong understanding of cloud infrastructure, networking, security, containers, CI/CD, and infrastructure automation.
  • Professional experience working with AI, machine learning, LLMs, or AI-powered cloud solutions.
  • Strong communication and presentation skills.
  • Ability to explain complex technical concepts clearly.
  • Teaching, mentoring, or technical training experience is preferred.
  • Reliable computer, webcam, microphone, and internet connection.

Benefits

Compensation

Cohort-Based Contract Compensation

  • Course Content Development: $1,000–$3,000 per course, based on course scope and complexity.
  • Live Instruction: $45–$85 per instructional hour.
  • Student Support & Grading: Additional compensation based on cohort requirements.
  • Repeat Cohorts: Additional compensation for each subsequent cohort taught.
  • Compensation is based on experience, course complexity, content requirements, and cohort size.

What We Offer

  • Remote, cohort-based teaching
  • Flexible instructor opportunities
  • Opportunity to build your own course content
  • Work with career-focused learners
  • Opportunity to turn your professional expertise into impactful training

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