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Cloud Computing Trainer Remote Jobs in Chicago, IL

zerohash

VP of Engineering, Trade (Remote)

Chicago, IL · Remote

$184K - $237K/yr

Cloud computing experience, with AWS highly desirable * BS or MS in Computer Science or Engineering, or equivalent experience * Strong bias toward serving your team and stakeholders, with a growth ...

YO AI Labs

Backend Java Developer - Remote

Chicago, IL · Remote

$60 - $110/hr

... training project. In this role, you will apply your backend development expertise to design ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

YO AI Labs

Mental Health Expert - Remote

Chicago, IL · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

YO AI Labs

DevOps Engineer - Remote

Chicago, IL · Remote

$50 - $150/hr

You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ... Previous experience with AI training data or model evaluation.

The Hartford

Principal AI Engineer

Chicago, IL · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Partner with our shared service teams like Architecture, Cloud, Security, etc to design and ...

The Hartford

Principal AI Engineer

Chicago, IL · On-site +1

$168K - $252K/yr

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Partner with our shared service teams like Architecture, Cloud, Security, etc to design and ...

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Cloud Computing Trainer Remote information

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

As of Sep 3, 2026, the average hourly pay for cloud computing trainer remote in Chicago, IL is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $30.72 per hour, depending on experience, location, and employer.

What is a cloud computing trainer remote?

A Cloud Computing Trainer (Remote) is a professional who teaches individuals or groups about cloud computing concepts, platforms, and tools through online or virtual formats. They design and deliver training sessions, create instructional materials, and help learners understand cloud technologies like AWS, Azure, or Google Cloud. Working remotely, they use digital platforms to conduct live classes, webinars, and hands-on labs, ensuring participants gain practical skills. Their goal is to equip trainees with the knowledge needed to use, manage, or develop cloud-based systems effectively.

What are the key skills and qualifications needed to thrive as a cloud computing trainer remote?

To thrive as a Cloud Computing Trainer (Remote), you need deep expertise in cloud platforms like AWS, Azure, or Google Cloud, along with relevant certifications and instructional experience. Familiarity with learning management systems (LMS), virtualization tools, and cloud deployment pipelines is typically required. Excellent communication, presentation, and adaptability skills are crucial for engaging diverse learners and delivering complex concepts clearly. These skills ensure effective knowledge transfer and empower professionals to succeed in evolving cloud environments.

What are some common challenges faced by a remote cloud computing trainer, and how can they be addressed?

As a remote Cloud Computing Trainer, one common challenge is effectively engaging participants who may be in different time zones or have varying levels of technical expertise. To address this, trainers often use interactive teaching tools, schedule sessions at mutually convenient times, and provide supplementary materials for self-paced learning. Additionally, maintaining clear communication and being responsive to questions helps foster a supportive virtual learning environment. Collaborating with other trainers and curriculum developers can also enhance training quality and ensure the content remains up-to-date.

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

AspectCloud Computing Trainer RemoteCloud Support Specialist
CredentialsCertifications like AWS, Azure, or Google Cloud; teaching credentials optionalCertifications such as AWS, Azure, or Google Cloud; technical support certifications beneficial
Work EnvironmentRemote, primarily conducting training sessions online or in virtual classroomsRemote or on-site, providing technical support and troubleshooting cloud services
Employer & Industry UsageEducational institutions, corporate training providers, cloud service companiesIT service providers, cloud vendors, enterprise IT departments

While both roles require cloud certifications and involve cloud technology, Cloud Computing Trainer Remote focuses on educating and training users remotely, whereas Cloud Support Specialist provides technical support and troubleshooting for cloud services. The roles differ mainly in their primary functions but share similar credentials and work environments.

What are the most commonly searched types of Cloud Computing Trainer jobs in Chicago, IL?

The most popular types of Cloud Computing Trainer jobs in Chicago, IL are:

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For Cloud Computing Trainer Remote jobs in Chicago, IL, the most frequently searched job titles are:

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The top searched job categories for Cloud Computing Trainer Remote jobs in Chicago, IL are:

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Cities near Chicago, IL with the most Cloud Computing Trainer Remote job openings:

Cloud Computing Trainer Remote jobs near you

Senior HPC Applications Engineer

Parallel Works

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

About Parallel Works
Parallel Works builds and operates ACTIVATE, a control plane for high performance computing and AI. Our customers run large scientific and AI workloads across their own on-premises clusters, Government and commercial cloud, and commercial GPU providers, and ACTIVATE gives them one way in to all of it. The high security boundary is authorized at Impact Level 5, with FIPS validated cryptography and STIG hardening throughout.
The work reaches most fields that depend on computing at scale: weather and climate forecasting, defense and intelligence programs, aerospace and structural analysis, molecular and materials science, energy, and AI research. A quarter here can include standing up a GPU cluster for one of those communities, federating a laboratory's existing on-premises system with burst capacity it did not have before, and getting a domain code written decades ago to run on current hardware.
Customer success sets our priorities. We are a small engineering company, so engineers here work directly with the people using the systems and carry a problem from the first report through to the fix. This is what we call mission engineering: understanding what a customer is trying to accomplish and why the computing matters to it.
About the role
Parallel Works is hiring a Senior HPC Applications Engineer to own the software stack and the user experience on our platforms. Our users are weather modelers, computational chemists, aerospace engineers, and AI researchers. The role is the escalation point for build failures, jobs that die partway through a multi-node run, and jobs running below expected throughput.
The scope covers both long-lived domain codes and current AI workloads, since customers run both on the same clusters. Users also move between on-premises systems, cloud, and commercial GPU providers, so a large part of the job is making an application behave the same across different compilers, site modules, MPI builds, and filesystems. Expect to spend a good share of the week talking to users.
What you will do
  • Software stack: compile and package MPI implementations (OpenMPI, MPICH, Intel MPI, HPC-X), compilers (GCC, Intel oneAPI, NVHPC), and scientific libraries, delivered through Spack or EasyBuild with Lmod module trees users can navigate.
  • Enable AI and ML workloads: install the frameworks customers ask for, get multi-node GPU launch working, and diagnose what sits below the framework: NCCL and collective behavior, container and driver mismatches, storage throughput, node faults mid-run. Customers drive their own toolchain choices.
  • Performance work: run scaling studies, profile with Nsight, VTune, TAU, HPCToolkit, or Score-P, and hand the finding to the systems team when the fix belongs in the fabric or the filesystem.
  • Portability: get customer codes running on new GPU architectures and new venues, using containers where that beats rebuilding against each site's modules.
  • User support: triage tickets, diagnose failed jobs to a root cause, and close them with a written explanation.
  • Documentation and training: user guides, office hours, and training for user communities, including formal Government training events.

Requirements
  • 10 or more years supporting scientific or AI application users on Linux HPC systems.
  • Building complex software from source on both RHEL family and Debian or Ubuntu systems: compilers, MPI, CMake and autotools, and the dependency problems that come with them.
  • Running Spack or EasyBuild and Lmod in production.
  • Experience with multi-node GPU workloads from the platform side, and the judgment to tell a framework problem from an environment problem.
  • Working with site provided software stacks on on-premises systems as well as cloud images where you control the whole stack.
  • Working knowledge of at least one application domain: weather and climate, computational fluid dynamics, molecular and materials science, or structural analysis.
  • United States citizenship and eligibility for a Secret clearance, since the work reaches export controlled Government environments. An active clearance is helpful but not required. We sponsor candidates who are eligible but not currently cleared.

You do not need every item on this list. If you have most of it and work well with other people, apply.
Preferred Qualifications
  • A prior user facing role at a Government supercomputing center, national laboratory, or university HPC center.
  • Depth in profiling and debugging tools: a GPU profiler, a CPU profiler, gdb, and MPI tooling.
  • Hands-on distributed training or inference work with PyTorch DDP or FSDP, DeepSpeed, Megatron style frameworks, JAX, vLLM, or TensorRT-LLM. Customers own their toolchains, so this is depth rather than a requirement.
  • Jupyter, remote visualization, or virtual desktop support for research users.

Benefits
Medical, vision, and dental coverage, a 401(k) with company match, short term disability, and generous paid vacation and sick time.
Equal employment opportunity
Parallel Works is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

Apply