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Cloud Computing Remote Internship Jobs in Chicago, IL

This transformation is driven by open source software, cloud computing and the move to VNF / CNF ... Remote-based, Americas and EMEA What your day will look like * Translate Service Provider ...

Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

We provide mobile rugged computing and video solutions, software, and cloud services to challenging ... The position is remote, with a preference for candidates near a major airport city. Essential Job ...

We provide mobile rugged computing and video solutions, software, and cloud services to challenging ... The position is remote, with a preference for candidates near a major airport city. Essential Job ...

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 ...

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Cloud Computing Remote Internship information

See Chicago, IL salary details

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

As of Aug 15, 2026, the average hourly pay for cloud computing remote internship in Chicago, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What is a cloud computing remote internship?

A Cloud Computing Remote Internship is a training opportunity where interns work remotely to gain hands-on experience with cloud technologies, platforms, and services. Interns typically learn about cloud infrastructure, deployment models, security, and automation using providers like AWS, Azure, or Google Cloud. They may work on real-world projects, assist in cloud migrations, or develop cloud-based applications. This internship helps build practical skills, industry knowledge, and potential career opportunities in cloud computing.

What are the key skills and qualifications needed to thrive in a cloud computing remote internship, and why are they important?

To thrive as a Cloud Computing Remote Intern, you should have a foundational understanding of cloud platforms (such as AWS, Azure, or Google Cloud), basic programming knowledge, and familiarity with networking and security concepts. Exposure to tools such as Docker, Kubernetes, Git, and credentials like AWS Certified Cloud Practitioner are often advantageous. Strong self-motivation, effective time management, and clear written and verbal communication skills set candidates apart in a remote setting. These abilities ensure successful project contributions, learning agility, and seamless collaboration in distributed cloud environments.

What types of projects and responsibilities can I expect during a cloud computing remote internship?

As a Cloud Computing Remote Intern, you will typically work on real-world projects such as deploying and monitoring cloud-based applications, automating workflows, or assisting with cloud infrastructure setup and management. Your daily or weekly responsibilities might include writing scripts, participating in code reviews, documenting processes, and supporting team troubleshooting efforts. You will often collaborate with experienced cloud engineers, attend virtual meetings, and contribute to group problem-solving sessions. This exposure allows you to develop practical technical skills and gain insight into how cloud teams function in a professional, remote setting.

What are popular job titles related to Cloud Computing Remote Internship jobs in Chicago, IL?

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

What job categories do people searching Cloud Computing Remote Internship jobs in Chicago, IL look for?

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

Cloud Infrastructure Expert - AI Trainer

Mercor

Chicago, IL • Remote

$1.7K - $2.1K/wk

Full-time

Re-posted 25 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Cloud Computing Expert
Type: Contract
Compensation: $1,750–$2,150/task
Location: Remote

Role Responsibilities

  • Build a realistic digital workspace using HashiCorp Terraform, Datadog, Splunk, GitHub Actions, and Okta. Reflect real-world architecture docs, runbooks, and incident post-mortems.
  • Design multi-step tasks that challenge frontier AI agents by navigating multiple apps and stakeholders.
  • Collaborate with cloud-computing experts to design environments and review scenarios for realism and rigor.
  • Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks.
  • Contribute to frontier AI research and benchmarking. Your work informs how leading labs train and evaluate AI systems.

Qualifications

Must-Have

  • 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team.
  • Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps.
  • Day-to-day use of HashiCorp Terraform, Pulumi, Splunk, Datadog, GitHub Actions, CircleCI, and Okta/Microsoft Entra ID.
  • Strong analytical thinking and writing skills.

Preferred

  • Certifications: AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality (~$1,750–$2,150 per completed task, subject to change as the project evolves).
  • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor