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Remote Motor Grader Operator Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... However, all applicants must complete the secondary grader application form, which can be found at ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... AND POSITION REQUIREMENTS The Chemistry Undergraduate Office seeks applicants to be graders for the ...

National Park Service

Motor Vehicle Operator

$29.95 - $34.94/hr

Removes snow from parking areas using loader, grader, and rotary plow. Handles garbage and operates ... Stehekin is a remote mountain community located at 1100' in north-central Washington, at the north ...

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Remote Motor Grader Operator information

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$9

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$30

How much do remote motor grader operator jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote motor grader operator in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $20.19 per hour, depending on experience, location, and employer.

What is a remote motor grader operator?

A Remote Motor Grader Operator is a skilled professional who operates motor graders, often from a remote location, to level and smooth surfaces such as roads, runways, or construction sites. Using advanced control systems and sometimes teleoperation technology, they ensure accurate grading and surface preparation. This role may require knowledge of heavy equipment, safety protocols, and digital controls. Remote operation allows for safer and more efficient work, especially in hazardous or hard-to-access areas.

What are the key skills and qualifications needed to thrive as a remote motor grader operator?

To thrive as a Remote Motor Grader Operator, you need expertise in operating heavy equipment, a good understanding of grading techniques, and typically a high school diploma or equivalent along with relevant operator certifications. Familiarity with remote-control systems, GPS machine guidance, and safety protocols is essential. Attention to detail, strong spatial awareness, and effective communication skills help operators excel in remote settings. These abilities ensure precise grading, operational safety, and seamless coordination with onsite and remote teams.

What is the difference between Remote Motor Grader Operator vs Remote Excavator Operator?

AspectRemote Motor Grader OperatorRemote Excavator Operator
CertificationsOperator license, equipment-specific trainingOperator license, equipment-specific training
Work EnvironmentConstruction sites, roadwork, grading projectsConstruction sites, excavation, trenching
Industry UsageRoad construction, land levelingFoundation work, demolition, trenching

Both roles require similar certifications and often work in construction environments. The main difference lies in the equipment operated: the Remote Motor Grader Operator focuses on grading and land leveling, while the Remote Excavator Operator handles digging and material movement. Your choice depends on the specific tasks and equipment you prefer to operate within the construction industry.

What are some common challenges faced by remote motor grader operators and how can they be addressed?

Remote Motor Grader Operators often face challenges such as maintaining precise control of equipment without direct physical presence and managing communication with on-site teams. Adapting to remote-control technology requires strong attention to detail and quick problem-solving skills, especially when adjusting to latency or limited visibility. Regular training on new software and equipment updates, as well as establishing clear communication protocols with on-site staff, can help mitigate these challenges and ensure efficient operations.
More about Remote Motor Grader Operator jobs
What cities are hiring for Remote Motor Grader Operator jobs? Cities with the most Remote Motor Grader Operator job openings:
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Remote Motor Grader Operator jobs near you
Infographic showing various Remote Motor Grader Operator job openings in the United States as of August 2026, with employment types broken down into 43% Full Time, 55% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $35,535 per year, or $17.1 per hour.

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Re-posted 3 days ago

Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation


Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.


In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.


This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.


What You Will Do:

  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.

  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.

  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.

  • Maintain confidentiality and objectivity throughout the grading process

What You Bring:

  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.

  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.

  • Experience in academic assessment, workforce development, or digital learning preferred.

  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.

  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.

  • Strong attention to detail and ability to maintain consistency across diverse submissions.

  • Excellent written communication skills for delivering constructive, learner-focused feedback.

  • Comfortable working in asynchronous learning environments and using digital platforms.

  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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