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Hourly Cloud Computing Trainer Jobs (NOW HIRING)

Intellisoft Technologies

cloud ARchitect

Austin, TX · On-site

$64.50 - $82/hr

... and training content. Qualifications : Required : • Responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team ...

Nightwing

Cloud Engineer

Virginia Beach, VA · On-site

$53 - $70.75/hr

Training IT team members to use different cloud computing technologies * Creating instructions for cloud computing operations and their documentation * Maintaining, updating, and refining ...

Nwis

Cloud Engineer

Virginia Beach, VA · On-site

$53 - $70.75/hr

Training IT team members to use different cloud computing technologies * Creating instructions for cloud computing operations and their documentation * Maintaining, updating, and refining ...

Umass Memorial Health

Senior Cloud Engineer

Worcester, MA

$55.75 - $74.25/hr

This role requires a strong understanding of cloud computing technologies, excellent problem ... training purposes. 14. Designs and implements disaster recovery plans for disasters and backup and ...

UMass Memorial Health

Senior Cloud Engineer

Worcester, MA · On-site

$55.75 - $74.25/hr

This role requires a strong understanding of cloud computing technologies, excellent problem ... training purposes. 14. Designs and implements disaster recovery plans for disasters and backup and ...

The State of Arizona

Cloud Solutions Architect

Phoenix, AZ · Remote

$110K - $120K/yr

... providing training, approving leave requests, and preparing evaluations). Develop and organize ... Cloud computing technologies and current computing trends Technical expertise in the Azure cloud ...

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How much do hourly cloud computing trainer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for hourly cloud computing trainer in the United States is $37.20, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $41.59 per hour, depending on experience, location, and employer.

What does an hourly cloud computing trainer do?

An Hourly Cloud Computing Trainer teaches individuals or groups about cloud computing concepts, platforms, and best practices on an hourly basis. They often deliver instruction on services like AWS, Azure, or Google Cloud, helping learners develop practical skills for deploying and managing cloud resources. Trainers may create curriculum, lead hands-on labs, and assess students' progress. Their role is typically contract-based or part-time, allowing organizations flexibility in training schedules.

What are some common challenges faced by hourly cloud computing trainers, and how can they be managed effectively?

Hourly Cloud Computing Trainers often encounter challenges such as adapting to learners' varying levels of technical expertise and keeping up with rapidly evolving cloud technologies. Balancing a flexible, hourly schedule while ensuring consistent course quality can also be demanding. To manage these challenges, trainers benefit from continuous professional development, utilizing updated training materials, and fostering strong communication with both learners and the organizations they support. Proactively seeking feedback and participating in cloud community forums can further enhance teaching effectiveness and adaptability.

What are the key skills and qualifications needed to thrive as an hourly cloud computing trainer, and why are they important?

To thrive as an Hourly Cloud Computing Trainer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), instructional skills, and a relevant educational background or industry certification. Familiarity with cloud management tools, virtualization software, and teaching technologies like learning management systems (LMS) is typically required, along with certifications like AWS Certified Solutions Architect or Microsoft Certified: Azure Fundamentals. Excellent communication, patience, and adaptability are essential soft skills for effectively conveying complex concepts to diverse learners. These skills enable trainers to deliver clear, engaging instruction and ensure learners gain practical, job-ready cloud computing knowledge.

What is the difference between Hourly Cloud Computing Trainer vs Cloud Support Specialist?

AspectHourly Cloud Computing TrainerCloud Support Specialist
CertificationsCloud certifications (AWS, Azure, GCP), training credentialsCloud certifications, technical support certifications
Work EnvironmentTraining sessions, workshops, online coursesHelp desks, technical support teams, client sites
Employer & IndustryTraining companies, educational institutions, cloud service providersIT departments, cloud service providers, tech companies

While both roles require cloud certifications and technical knowledge, the Hourly Cloud Computing Trainer focuses on educating learners through workshops and courses, whereas the Cloud Support Specialist provides technical assistance and troubleshooting support to users. The trainer's role is more educational and presentation-oriented, while the support specialist's role is more technical and problem-solving based.

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Hourly Cloud Computing Trainer jobs near you
Infographic showing various Hourly Cloud Computing Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 49% Full Time, 45% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $77,381 per year, or $37.2 per hour.

Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 23 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications.
Responsibilities
  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.
  • Monitor and address student concerns and inquiries.
  • Evaluate and grade student work and assessments.
  • Conduct office hours.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which
enables students to learn from faculty possessing outstanding academic training as well
as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Ph.D. in Computer Science, Software Engineering, or related field
  • Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming
  • Experience with the Linux operating system, cloud virtualization and storage systems
  • 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud)
  • Knowledge of Python programming language

Preferred Skills & Experience
  • University teaching experience
  • Experience with setting up and configuring Google Cloud Platform services
  • Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes

Additional Information
Please submit a resume inclusive of university teaching experience.
Columbia University is an Equal Opportunity/Affirmative Action employer.
All your information will be kept confidential according to EEO guidelines.
Salary Range: $11,000-$13,000 per semester length course

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