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Remote Cloud Computing Trainee Jobs in Illinois (NOW HIRING)

The ideal candidate will have a strong cloud computing and cybersecurity background, with a proven ... This is a remote position, however we are seeking candidates based out of or near the Chicago ...

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 ...

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Remote Cloud Computing Trainee information

What are some common challenges faced by Remote Cloud Computing Trainees, and how can they be addressed?

Remote Cloud Computing Trainees often encounter challenges such as adapting to rapidly evolving cloud technologies and maintaining effective communication with distributed teams. To address these issues, it's important to actively participate in virtual meetings, leverage collaborative tools, and regularly seek feedback from mentors. Staying up-to-date with cloud platform updates through continuous learning and certification programs can also help trainees stay competitive and confident in their roles.

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

AspectRemote Cloud Computing TraineeCloud Support Specialist
Required CredentialsBasic IT certifications, training programsCertifications like AWS, Azure, or Google Cloud; experience preferred
Work EnvironmentTraining environment, often remote or in-officeCustomer support, troubleshooting, remote or on-site
Industry UsageEntry-level, learning phaseOperational support, ongoing maintenance
Search & Comparison IntentLearning, entry-level rolesSupport, troubleshooting, customer service

The Remote Cloud Computing Trainee is an entry-level position focused on learning cloud technologies, often requiring basic certifications and training. In contrast, a Cloud Support Specialist is a more experienced role involving troubleshooting and supporting cloud services, often requiring relevant certifications and hands-on experience. Both roles are integral to cloud service providers but differ mainly in experience level and responsibilities.

What are Remote Cloud Computing Trainees?

Remote Cloud Computing Trainees are individuals who are learning the fundamentals of cloud computing while working from a remote location. They typically participate in training programs or internships designed to teach them about various cloud platforms, such as AWS, Azure, or Google Cloud. Their tasks may include setting up virtual servers, managing cloud resources, and learning about cloud security and deployment practices. This role is ideal for those looking to start a career in cloud technology, as it provides hands-on experience and foundational knowledge in a flexible, remote environment.

What are the key skills and qualifications needed to thrive as a Remote Cloud Computing Trainee, and why are they important?

To thrive as a Remote Cloud Computing Trainee, you need foundational knowledge in computer science, networking, and cloud concepts, often gained through a relevant degree or coursework. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as basic understanding of virtualization, scripting, and certification courses like AWS Certified Cloud Practitioner, is highly beneficial. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills in a remote learning environment. These skills are important because they enable trainees to efficiently learn cloud technologies, collaborate remotely, and adapt to the evolving demands of cloud-based roles.
What are the most commonly searched types of Cloud Computing Trainee jobs in Illinois? The most popular types of Cloud Computing Trainee jobs in Illinois are:
What cities in Illinois are hiring for Remote Cloud Computing Trainee jobs? Cities in Illinois with the most Remote Cloud Computing Trainee job openings:
Cloud Infrastructure Expert - AI Trainer

Cloud Infrastructure Expert - AI Trainer

Mercor

Chicago, IL • Remote

$1.7K - $2.1K/wk

Full-time

Posted 7 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