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Earlston Academy
Cloud Engineering & AI InstructorEarlston Academy • San Francisco, GA, us
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Cloud Engineering & AI Instructor

Cloud Engineering & AI Instructor

Earlston Academy • San Francisco, GA, us
10 days ago
Salary
$45.00–$85.00 hourly
Job type
  • Full-time
Job description

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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    Cloud Engineering & AI Instructor • San Francisco, GA, us