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Remote Predictive Maintenance Jobs in Azle, TX (NOW HIRING)

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.

Remote Predictive Maintenance information

See Azle, TX salary details

$10

$27

$49

How much do remote predictive maintenance jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote predictive maintenance in Azle, TX is $27.52, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $33.32 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.

What cities near Azle, TX are hiring for Remote Predictive Maintenance jobs? Cities near Azle, TX with the most Remote Predictive Maintenance job openings:
Sr/Staff AI Engineer (Remote - US)

Sr/Staff AI Engineer (Remote - US)

BNSF Railway

TX • On-site, Remote

$165K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


BNSF Railway rating

7.0

Company rating: 7.0 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

202nd of 341 rated logistics


Job description

be part of a team that values safety, inclusion, and excellence
we are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.
bnsf | tech: innovating and transforming the future of freight rail
bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america.
are you ready to drive change?
if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter.
we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us!
learn more about BNSF and our Benefits
Job Location: Remote US
Anticipated Start Date: 06/01/2026
The US base salary range for this full-time position is provided below:
Salary Range: $165,000 - $300,000
L5: $165,000 - $220,00
L6: $225,000 - $300,000
The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.
This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States
Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF
This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.
Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.
data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise.
Key responsibilities may include:
AI Development and Implementation:
Assist in designing, developing, and implementing AI models and algorithms tailored to railroad operations, including predictive maintenance, scheduling, and safety monitoring.
Build scalable AI systems to analyze real-time data from rail infrastructure, rolling stock, and IoT devices.
Data Collection and Analysis:
Collect, preprocess, and clean data from various sources (e.g., sensors, GPS, maintenance logs) for training AI models.
Conduct exploratory data analysis to identify trends and patterns relevant to rail operations.
Build and Maintain Extract, Transform, Load (ETL) pipelines for AI applications.
Optimization and Automation:
Fine tune and optimize algorithms to streamline train scheduling, route planning, and fuel efficiency.
Support the automation of operational processes and decision-making using AI-powered tools.
System Integration and Deployment:
Collaborate with software engineers and DevOps teams to integrate AI solutions into production environments.
Ensure AI systems are robust, reliable, and compliant with railroad industry standards.
Performance Monitoring and Improvement:
Monitor deployed models and systems for performance, scalability, and accuracy, ensuring continuous improvement and reliability.
Troubleshoot issues, retrain models, and implement necessary updates.
Collaboration and Communication:
Work closely with cross-functional teams, including data scientists, software engineers, business analysts, to understand their needs and enable AI-driven solutions.
Communicate technical concepts and project updates to both technical and non-technical stakeholders.
Research and Innovation:
Stay updated on emerging AI technologies and trends to identify opportunities for innovation in rail transportation.
Conduct research and propose new methodologies for solving complex railroad challenges.
The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties.
At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment.
Basic Qualifications
  • Authorized to work in the US.
  • Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience.
  • Technical Skills:
    • Strong in programming languages such as Python, R, or Java.
    • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deep learning architectures.
    • Familiarity with data engineering tools and platforms (e.g., Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab) and cloud services (AWS, Azure, Databricks) and open source environments
    • Strong knowledge of databases (SQL and NoSQL)
    • Strong knowledge of Mlops ecosystem
    • Strong understanding of generative AI models
    • Strong in Data Pipelines for GenAI (e.g., cleaning, chunking embeddings)
    • Strong in GenAI tools and frameworks (LangChain, LangGraph)
    • Strong in Vector Databases and embeddings
    • Familiar with Agentic architecture
  • Analytical Skills: Ability to interpret complex datasets and derive actionable insights.
  • Problem-Solving: Proven ability to tackle real-world challenges using AI and machine learning techniques.
  • Communication: Excellent verbal and written communication skills for working with cross-functional teams and stakeholders.

Preferred Qualifications
  • Able to work now and in the future without BNSF's assistance (whether monetary, through sponsorship, or otherwise) in obtaining, maintaining, or extending employment authorization (including H-1B, STEM OPT/CPT, or TN nonimmigrant status).
  • Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
  • Experience with predictive maintenance, anomaly detection, or industrial IoT applications.
  • Knowledge of railroad operations, transportation systems, or logistics.
  • Familiarity with MLOps practices and tools for model lifecycle management.
  • Experience deploying AI systems in production environments with a focus on scalability and reliability.
  • Previous experience in transportation, supply chain, or infrastructure industries.

At BNSF, you will have access to a comprehensive and competitive benefits package including:
  • An industry-leading 401(k) and renowned Railroad Retirement program.
  • A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options.
  • Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
  • Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
  • Access to discounts on travel, gym memberships, counseling services and wellness support.
  • Annual bonus (Incentive Compensation Program)
  • Generous leave / time off policies.
  • For more information, visit Benefits.

Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness.
All positions require pre-employment background verification.
BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
SF: MO | ((mfield5)) | bnsf tech | REMOTE, US | 76131

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