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The instructor will create and maintain cloud engineering and AI course content while leading live online sessions for cohorts. They are responsible for mentoring students, developing hands-on projects, and providing constructive technical feedback.
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.
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
Applicants must submit a short video assessment demonstrating their ability to teach a cloud engineering or AI concept.
Cohort-Based Contract Compensation
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