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Remote Ai Infrastructure Engineer Jobs in Warren, MI

Civil Engineer - AI Trainer

Detroit, MI ยท On-site +1

$70 - $80/hr

Remote Role Responsibilities * Construct civil engineering scenarios for large-scale infrastructure ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

AI Engineer Location :โ€ƒโ€ƒHybrid, United States Employment Type :โ€ƒFull-Time Benefits Offered ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Industrial Engineers Type: Contract Compensation: $70-$110/hour Location ... Remote Duration: 4-6 weeks Commitment: 20+ hours/week Role Responsibilities * Evaluate AI-generated ...

Mechanical Engineers Type: Contract Compensation: $70-$110/hour Location ... Remote Duration: 4-6 weeks Commitment: 20+ hours/week Role Responsibilities * Evaluate AI-generated ...

Senior Finance AI & Automation Developer

Novi, MI ยท On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... infrastructure, & governance. The position will also monitor performance of automations & AI ...

Senior Software Engineer

Detroit, MI ยท Remote

$121K - $159K/yr

... AI-enabled analytics, sensors, cameras, and integrated digital infrastructure to provide actionable ... This is a fully remote, hands-on individual contributor role with meaningful ownership across core ...

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

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Showing results 1-20

Remote Ai Infrastructure Engineer information

See Warren, MI salary details

$43.7K

$119.3K

$170.9K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote ai infrastructure engineer in Warren, MI is $119,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $132,400.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Warren, MI?

For Remote Ai Infrastructure Engineer jobs in Warren, MI, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Warren, MI look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Warren, MI are:

What cities near Warren, MI are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Warren, MI with the most Remote Ai Infrastructure Engineer job openings:

Infographic showing various Remote Ai Infrastructure Engineer job openings in Warren, MI as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $119,345 per year, or $57.4 per hour.

Mechanical Engineer - AI Infrastructure - AI Trainer

Detroit, MI โ€ข Remote

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: Mechanical Engineers
Type: Contract
Compensation: $1500/hour
Location: Remote
Duration: 4–5 weeks
Commitment: 20–30+ hours/week

Role Responsibilities

  • Create tasks and deliverables for common requests in the Mechanical Engineering domain.
  • Diagnose and solve real-world issues to advance AI research and infrastructure.
  • Contribute expertise to cutting-edge machine learning systems.
  • Work independently with flexible hours to meet deadlines.

Qualifications

Must-Have

  • 4+ years professional experience in Mechanical Engineering.
  • Minimum 20 hours per week required, with flexibility to scale up to 30+ hours.

Start Date

  • Immediate start; applications reviewed on a rolling basis.

Compensation & Legal

  • Task-based payment upon first task approval.
  • Hourly payment for the remainder of the project after the first task is completed.

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