Earlston Academy
Cloud Engineering & AI Instructor
Skills
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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