Cloud Engineering & AI Instructor

Zohorecruit

Polska

Hybrid

PLN 173,000 - 384,000

Part time

9 days ago

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Remote teaching

Flexible instructor opportunities

Course content development

Career-focused learners

Impactful training

Job summary

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

Ideal candidates are seasoned cloud engineers familiar with cloud infrastructure, DevOps, and AI, who can translate complex topics into practical student outcomes. This is a remote, contract-based role with opportunities to develop courses and lead engaging live sessions.

Qualifications

7+ years of professional experience in cloud/DevOps roles.
Current, relevant cloud or technology certifications.
Strong knowledge of AWS, Azure, or Google Cloud.
Ability to explain complex concepts clearly.

Responsibilities

Create and maintain Cloud Engineering and AI course content.
Lead live online sessions for cohorts.
Teach practical cloud, DevOps, and AI concepts.
Develop hands-on labs, exercises, and assessments.
Demonstrate real-world cloud architectures and AI solutions.
Mentor students and provide feedback.
Keep content current with evolving platforms and practices.

Skills

Cloud fundamentals

Networking

Security

Containers

CI/CD

Infrastructure automation

AI concepts

Communication

Presentation

Education

Cloud certifications

Tools

AWS

Azure

Google Cloud

Job description

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.

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.

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