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Remote Predictive Maintenance Jobs (NOW HIRING)

Process Controls Engineer

Los Angeles, CA · On-site +1

$100K - $140K/yr

Hybrid (Los Angeles-based; ~1 day/week remote) Travel: 0-25% per month About Mote Mote is ... and predictive maintenance, using operational data. * Drive continuous improvement and innovation ...

Reciprocating Engine Mechanic

Fairfield, TX · Remote

$18.75 - $25.50/hr

Conduct preventative and predictive maintenance programs * Inspect and repair fuel, lube oil ... Support field service operations, including remote site work * Maintain accurate maintenance and ...

Reciprocating Engine Mechanic

Fairfield, TX · Remote

$18.75 - $25.50/hr

Conduct preventative and predictive maintenance programs * Inspect and repair fuel, lube oil ... Support field service operations, including remote site work * Maintain accurate maintenance and ...

Reciprocating Engine Mechanic

Fairfield, TX · Remote

$18.75 - $25.50/hr

Conduct preventative and predictive maintenance programs * Inspect and repair fuel, lube oil ... Support field service operations, including remote site work * Maintain accurate maintenance and ...

Support troubleshooting, escalation management, remote diagnostics, predictive maintenance, warranty and service-plan inquiries, reporting, and recordkeeping. Act as a cross-functional liaison among ...

Role: Data Scientist Location: Remote, USA Duration: Fulltime Employee Job Overview ... Data Science Proven track record building and deploying ML models for predictive maintenance ...

Role: Data Scientist Location: Remote, USA Duration: Fulltime Employee Job Overview ... Data Science Proven track record building and deploying ML models for predictive maintenance ...

UI/UX SME

Crane, IN · On-site +1

$185K/yr

... maintenance and operational decision-making. This position can be fully remote , and any required ... Experience supporting Condition-Based Maintenance Plus, predictive maintenance, logistics, aviation ...

Apply Early

Sr/Staff AI Engineer (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Experience with predictive maintenance, anomaly detection, or industrial IoT applications.

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Remote Predictive Maintenance information

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How much do remote predictive maintenance jobs pay per hour?

As of Jul 2, 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.

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:
Senior Manager, Predictive Modeling and Machine Learning

Senior Manager, Predictive Modeling and Machine Learning

Credit Acceptance Corporation

Remote

$221K - $259K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Credit Acceptance rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.
Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
This role leads complex modeling initiatives and drives innovation in machine learning and data science. The Senior Manager designs and deploys advanced statistical and ML models that inform strategic decisions across credit risk, collections, and operations. While formal people management may not be required, the role demands strong leadership, deep technical expertise, mentorship, and business acumen to elevate the organization's analytics capabilities.
Outcome and Activities
  • This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.
  • Lead the design and deployment of predictive models for credit risk, collections, and operations
  • Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP)
  • Mentor and support junior and peer-level data scientists
  • Promote adoption of modern data science tools and platforms
  • Present insights to senior and cross-functional stakeholders
  • Drive experimentation with emerging techniques (e.g., causal inference, GenAI)

Requirements:
  • Master's or Ph.D. in a quantitative field
  • 8+ years of experience in predictive modeling and analytics
  • 6+ years of experience applying ML in production environments
  • Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
  • Experience with cloud platforms and MLOps tools
  • Thought leader with strong communication and stakeholder management skills

Preferred:
  • Experience in consumer lending
  • Experience with model governance, explainability, and responsible AI

Targeted Compensation: $221,225 - $259,096 base salary + annual bonus plan
This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.
#LI-Remote
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Benefits
  • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

Our Company Values:
To be successful in this role, Team Members need to be:
  • Positive by maintaining resiliency and focusing on solutions
  • Respectful by collaborating and actively listening
  • Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
  • Direct by effectively communicating and conveying courage
  • Earnest by taking accountability, applying feedback and effectively planning and priority setting

To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:
  • Identify the Right People by recognizing top talent
  • Set Clear Expectations by managing change and directing others
  • Train team members and focus on developing talent
  • Performance Manage by ensuring accountability and driving results
  • Create the Right Environment by establishing trust and managing conflict
  • Maintain the Right Number of team members needed to build an effective team

Expectations:
  • Remain compliant with our policies processes and legal guidelines
  • All other duties as assigned
  • Attendance as required by department

Advice!
We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!
P.S.
We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk!
Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.
California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.
Play the video below to learn more about our Company culture.

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