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Remote Predictive Maintenance Jobs (NOW HIRING)

Utilize predictive maintenance processes to raise re-work requests and organize any additional ... Travel to site as needed (80% remote and 20% on site) * Pay Range: $110,000-$130,000 USD Annual ...

... for remote work to be determined by the program manager and customer. Essential Functions ... Experience with Predictive Maintenance / Logistics * Experience with sensor-based failure ...

Mechanical Engineer

$70K - $117K/yr

... predictive maintenance. * Collaborating with ship's force to identify maintenance repair ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Remote role with frequent travel to various sites. Candidates located in the Chicago or Atlanta ... Develop, improve, and enforce preventive and predictive maintenance strategies * Coordinate outages ...

... of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to ... AssetWatch is a remote-first company that puts people at the center of everything we do. We want ...

Develop, maintain, and enhance statistical and predictive models for volume and contact center ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Data Scientist - Predictive Analytics

OR · On-site +1

$108K - $181K/yr

Develop, maintain, and enhance statistical and predictive models for volume and contact center ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Develop, maintain, and enhance statistical and predictive models for volume and contact center ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Data Scientist - Predictive Analytics

OR · On-site +1

$108K - $181K/yr

Develop, maintain, and enhance statistical and predictive models for volume and contact center ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

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Remote Predictive Maintenance information

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$12

$31

$56

How much do remote predictive maintenance jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for remote predictive maintenance in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $38.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Predictive Maintenance Specialist, and why are they important?

To thrive as a Remote Predictive Maintenance Specialist, you need a solid background in engineering or industrial maintenance, along with expertise in data analysis and condition monitoring. Familiarity with predictive maintenance software, IoT sensors, and data visualization tools is typically required, and certifications such as Certified Maintenance & Reliability Professional (CMRP) are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help specialists interpret data and coordinate with on-site teams. These skills ensure accurate diagnosis of equipment issues, minimize downtime, and optimize asset performance in remote industrial environments.

How does a Remote Predictive Maintenance specialist typically collaborate with onsite teams to resolve equipment issues?

A Remote Predictive Maintenance specialist works closely with onsite maintenance and engineering teams by analyzing machine data, identifying potential issues before they lead to failures, and communicating actionable insights. Collaboration often involves regular virtual meetings, sharing real-time dashboards, and providing detailed reports or recommendations. The specialist may also guide onsite staff through troubleshooting steps or suggest preventive measures to minimize downtime, ensuring seamless integration between remote monitoring and hands-on repairs.

What is remote predictive maintenance?

Remote predictive maintenance is a technology-driven approach that uses sensors, data analytics, and machine learning to monitor equipment performance and predict potential failures before they occur, all from a remote location. This allows maintenance teams to address issues proactively, reducing unplanned downtime and maintenance costs. By leveraging real-time data and remote monitoring, organizations can improve equipment reliability, optimize maintenance schedules, and ensure safer operations, even without being physically present at the equipment site.

How can I make $100,000 a year working from home?

A remote predictive maintenance specialist can earn $100,000 annually by gaining expertise in industrial IoT, data analysis, and machine learning, often requiring certifications or experience with predictive analytics tools. Building a strong skill set, obtaining relevant certifications, and working for companies that value remote technical roles can help achieve this income level.

What is the difference between Remote Predictive Maintenance vs Remote Maintenance Technician?

AspectRemote Predictive MaintenanceRemote Maintenance Technician
CredentialsTechnical certifications in predictive analytics, IoT, or condition monitoringTechnical certifications in general maintenance, HVAC, electrical, or mechanical systems
Work EnvironmentPrimarily remote, using sensors, software, and data analysis toolsPrimarily remote or on-site, focusing on repairing and maintaining equipment
Industry UsageManufacturing, energy, utilities, and industrial sectorsManufacturing, facilities management, and industrial sectors

Remote Predictive Maintenance specialists focus on analyzing data remotely to predict equipment failures, while Remote Maintenance Technicians perform repairs and routine maintenance, often on-site. Both roles require technical skills, but predictive maintenance emphasizes data analysis and remote diagnostics, whereas maintenance technicians focus on hands-on repairs.

More about Remote Predictive Maintenance jobs
What cities are hiring for Remote Predictive Maintenance jobs? Cities with the most Remote Predictive Maintenance job openings:
What are the most commonly searched types of Predictive Maintenance jobs? The most popular types of Predictive Maintenance jobs are:
What states have the most Remote Predictive Maintenance jobs? States with the most job openings for Remote Predictive Maintenance jobs include:
What job categories do people searching Remote Predictive Maintenance jobs look for? The top searched job categories for Remote Predictive Maintenance jobs are:
Infographic showing various Remote Predictive Maintenance job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,662 per year, or $31.6 per hour.
Lead AI Infrastructure Engineer (Python/ML )

Lead AI Infrastructure Engineer (Python/ML )

Sphere Partners

Remote

$104K - $138K/yr

Full-time

Posted 17 days ago


Job description

Type: Long-term contract
Location: Remote (overlap with PST)
At Sphere, we partner with global logistics company leveraging AI, Machine Learning, and Data Engineering to optimize warehouse operations, predictive maintenance, and route planning.
Role: Build and maintain scalable AI infrastructure, enabling teams to run ML experiments, deploy machine learning models, and implement MLOps pipelines for production-grade AI.
Responsibilities:
  • Design distributed training pipelines for large-scale machine learning and deep learning models.
  • Optimize compute and storage resources for cloud-based AI/ML workloads on AWS, GCP, or Azure.
  • Collaborate with data scientists and ML engineers to deploy models in production efficiently.
  • Implement monitoring, logging, and alerting for model performance and AI workflows.
  • Ensure scalable, maintainable, and reliable AI infrastructure to support real-time and batch ML applications.

Requirements:
  • 5+ years in Python and ML infrastructure.
  • Experience in cloud AI platforms (AWS Sagemaker, GCP AI Platform, Azure ML).
  • Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD for ML.
  • Experience with distributed systems, data pipelines, and high-performance computing for AI.
  • Hands-on with deep learning frameworks like TensorFlow or PyTorch.