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Hourly Remote Machine Learning Engineer Jobs in Charlotte, NC

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Partnering with engineering, design, and other product managers throughout the full product ...

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Partnering with engineering, design, and other product managers throughout the full product ...

Genesys

Staff AI Platform Engineer

Concord, NC · Remote

Note this position is remote US based in EST or CST About The Role AI capabilities at Genesys power ... Familiarity with machine learning and MLOps concepts, including model lifecycle management, data ...

Kemper

Data Scientist

Charlotte, NC · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Brightspeed

Senior Data Scientist

Charlotte, NC · On-site +1

Required experience • 5+ years of experience of building AI and/or machine learning models for ... As always, however, we are also open to providing sensible remote options to talent outside of the ...

Brightspeed

Senior Data Scientist

Charlotte, NC · On-site +1

Deep expertise in machine learning, neural networks, computer vision, large language models ... Demonstrated experience in algorithm selection, model training, feature engineering, fine-tuning ...

Brightspeed

Senior Data Scientist

Charlotte, NC · On-site +1

Required experience 5+ years of experience of building AI and/or machine learning models for ... As always, however, we are also open to providing sensible remote options to talent outside of the ...

Varsity Tutors

Data Science Tutor

Matthews, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Charlotte, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

ICF

Substation Physical Engineer - REMOTE

Charlotte, NC · Remote

$96K - $122K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ...

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Hourly Remote Machine Learning Engineer information

See Charlotte, NC salary details

$24.9K

$41.6K

$86K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for hourly remote machine learning engineer in Charlotte, NC is $41,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

What are popular job titles related to Hourly Remote Machine Learning Engineer jobs in Charlotte, NC?

For Hourly Remote Machine Learning Engineer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Charlotte, NC look for?

The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Charlotte, NC are:

Hourly Remote Machine Learning Engineer jobs near you

Machine Intelligence Analyst- P&HVAC

Sunbelt Rentals, Inc.

Fort Mill, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Sunbelt Rentals rating

7.6

Company rating: 7.6 out of 10

Based on 319 frontline employees who took The Breakroom Quiz

97th of 175 rated vehicle equipment hire

Job description

Join Our Team!
Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.
We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees.
As a highly successful national company, we are constantly looking for talented individuals to support our growth. If you are interested in pursuing a rewarding career, we invite you to review our opportunities!
Job Description Summary
Position Objective:
A Machine Intelligence Analyst focuses on utilizing advanced data analysis, artificial intelligence (AI), and machine learning (ML) to improve the performance, safety, and efficiency of heavy equipment. This role bridges the gap between raw telematics data-collected from sensors and CAN bus/Modbus systems-and actionable business intelligence by automating reporting and alerting to drive predictive maintenance, fuel savings, and operational optimization.
Position Responsibilities:
  • Predictive Maintenance & Diagnostics: Analyze sensor data (vibration, temperature, hydraulic pressure) to predict equipment failure, reducing downtime and lowering maintenance costs.

  • Telematics & Data Engineering: Extract, clean, and analyze raw data from CAN bus, Modbus, and GPS systems to monitor fleet health and location in real time.

  • Performance Optimization: Develop AI/ML models to improve fuel efficiency and optimize workflows (e.g., automated scheduling).

  • Automated Alerting & Reporting: Create automated dashboards and proactive alerts for operators/managers regarding abnormal machine behavior.

  • Operational Safety: Utilize ML to identify unsafe operator behavior (e.g., sudden braking, excessive idling) and ensure compliance with regulatory standards.

Requirements:
Education & Experience:
  • Bachelor's degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles.

  • Domain Knowledge: Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic.

  • Soft Skills: Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews.

  • Predictive Maintenance Modeling: Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur.

  • Fleet & Operational Optimization: Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs.

  • Safety & Compliance Monitoring: Use AI to flag risky operator behaviors-such as harsh braking or overloading-and automate reporting for regulatory standards like OSHA.

  • Fuel Efficiency Analysis: Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%.

  • Automated Reporting & Alerting: Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing).

Essential Technical Skills
  • Data Integration: Experience with industrial communication protocols such as CAN bus and Modbus to collect data from machine control systems.

  • AI/ML Frameworks: Proficiency in Python or R, along with libraries like TensorFlow, PyTorch, or Scikit-learn for building predictive models.

  • Telematics Expertise: Strong understanding of GPS technology, onboard diagnostics (OBD), and Telematics Control Units (TCU) for remote monitoring.

  • Data Management: Skills in SQL, data cleaning, and big data tools (e.g., Hadoop, Apache Spark) to handle large volumes of sensor data.

  • Visualization: Ability to create complex queries and interactive dashboards using tools like Power BI, Tableau, or specialized construction software.

Physical Demands:
Must be able to bend, squat, crouch and/or reach and lift up to 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloading heavy equipment, performing work in extreme weather conditions including rain, wind or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt's safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.
The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.
Sunbelt Rentals is an Equal Opportunity Employer - Minority/Female/Disabled/Veteran and any other protected ground
Base Pay Range: $64,790.40 - 89,086.80
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Please visit https://www.sunbeltrentals.com/careers/ for more information on our benefits and to join our Talent Network.
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
  • Health, Dental and Vision plans
  • 401(k) Match
  • Volunteer time off
  • Short-term and long-term disability
  • Accident, Life and Travel insurance, as well as flexible spending
  • Tuition Reimbursement Options
  • Employee Assistance Program (EAP)
  • Length of Service Awards

You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt's policies (unless specified in a collective bargaining agreement):
  • 12-25 vacation days depending on years of service
  • 5 sick days
  • 6 holidays
  • 2 half day holidays
  • 2 floating holidays
  • 1 inclusion day
  • 1 volunteer day

Gear up for an exciting career!
Sunbelt Rentals supports service members. Veterans encouraged to apply.

What Sunbelt Rentals employees say

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About Sunbelt Rentals

Sourced by ZipRecruiter

Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.

Industry

Consumer goods and commercial equipment rental services

Company size

10,000+ Employees

Headquarters location

Fort Mill, SC, US

Year founded

1983

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