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Remote Road Grader Operator Jobs in California (NOW HIRING)

Gnostech LLC

Drafter/CAD Operator II

San Diego, CA · On-site +1

$26.92 - $29.33/hr

Hybrid or remote work is not authorized Job Title * Drafter/CAD Operator II Salary * $26.92-$29.33 ... Road, Suite 130 San Diego, CA 92106 Site MapAbout Us What We Do Our Experience Contact Us 2025 ...

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All JobsRoad Grader Operator JobsRemote Road Grader Operator JobsRemote Road Grader Operator Jobs in California

Remote Road Grader Operator information

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

AspectRemote Road Grader OperatorRemote Excavator Operator
CredentialsCommercial driver's license, grader certificationExcavator operator certification, CDL often preferred
Work EnvironmentRoad construction sites, outdoor terrainsConstruction sites, outdoor and sometimes indoor projects
Industry UsageHighway, road, and infrastructure projectsBuilding foundations, trenching, demolition

The Remote Road Grader Operator and Remote Excavator Operator roles share similar certifications and outdoor work environments. However, they focus on different machinery and project types. The grader operator primarily levels and shapes roads, while the excavator operator handles digging and material movement. Both roles are essential in construction and infrastructure projects, often requiring similar credentials and safety training.

What are the most commonly searched types of Road Grader Operator jobs in California?

The most popular types of Road Grader Operator jobs in California are:

What are popular job titles related to Remote Road Grader Operator jobs in California?

For Remote Road Grader Operator jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Road Grader Operator jobs in California look for?

The top searched job categories for Remote Road Grader Operator jobs in California are:

What cities in California are hiring for Remote Road Grader Operator jobs?

Cities in California with the most Remote Road Grader Operator job openings:

Remote Road Grader Operator jobs near you
Infographic showing various Remote Road Grader Operator job openings in California as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 30% Part Time, and 1% Contract. Highlights an 100% Physical job distribution.

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

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Re-posted 10 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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