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Remote Grader Jobs in California (NOW HIRING)

Decile Group

Senior Fund Accountant (Remote)

Palo Alto, CA · On-site +1

$90K - $125K/yr

Start Fund enables managers to launch institutional-grade funds in under 24 hours. Decile Capital ... Remote candidates will be considered. Applicants for this role need to be based in the U.S. Sr. ...

Decile Group

Senior Fund Accountant (Remote)

Palo Alto, CA · On-site +1

$90K - $125K/yr

Start Fund enables managers to launch institutional-grade funds in under 24 hours. Decile Capital ... Remote candidates will be considered. Applicants for this role need to be based in the U.S. Sr. ...

TPAPT

ELA Tutors - College Advising Firm

Atherton, CA · On-site +1

$40 - $50/hr

Remote, US based Position: ELA Tutor Classification: Part time employee (W2) The Position: • Provide remote tutoring support to students in grades 9-12 • Tutoring sessions last 60 minutes • 4 ...

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All JobsGrader JobsRemote Grader JobsRemote Grader Jobs in California

Remote Grader information

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How much do remote grader jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote grader in California is $16.86, according to ZipRecruiter salary data. Most workers in this role earn between $11.39 and $19.90 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote Graders, and how can they be addressed?

Remote Graders often encounter challenges such as managing a high volume of submissions during peak periods, maintaining consistency and objectivity in grading, and balancing flexible hours with strict deadlines. Working independently can also require strong self-discipline and effective organization to stay on top of grading tasks. To address these challenges, it's helpful to establish a regular grading schedule, leverage built-in analytics or rubrics provided by the LMS, and communicate with supervisors or fellow graders when clarification or support is needed. Proactively reaching out for feedback and ongoing training can also help Remote Graders improve their performance and adapt to changing expectations.

What is a Remote Grader job?

A Remote Grader evaluates and scores assignments, exams, or coursework submitted by students, typically for online or distance learning programs. They follow specific grading rubrics provided by the institution or instructor to ensure consistency and fairness. This role often requires subject matter expertise, attention to detail, and the ability to provide constructive feedback. Remote Graders typically work independently and communicate with instructors or educational institutions as needed.

What are the key skills and qualifications needed to thrive in the Remote Grader position, and why are they important?

To thrive as a Remote Grader, you need a strong command of subject matter expertise, attention to detail, and the ability to evaluate assignments fairly, typically supported by relevant academic credentials or teaching experience. Familiarity with online grading platforms, learning management systems (LMS), and digital assessment tools is often required for effective and efficient work. Strong time management, clear written communication, and self-motivation are essential soft skills for this independent, deadline-driven role. These skills and qualities are critical for maintaining grading accuracy, meeting turnaround expectations, and supporting student learning outcomes remotely.

What are the most commonly searched types of Grader jobs in California? The most popular types of Grader jobs in California are:
What are popular job titles related to Remote Grader jobs in California? For Remote Grader jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Grader jobs in California look for? The top searched job categories for Remote Grader jobs in California are:
What cities in California are hiring for Remote Grader jobs? Cities in California with the most Remote Grader job openings:
Remote Grader jobs near you
Infographic showing various Remote Grader job openings in California as of July 2026, with employment types broken down into 62% Full Time, 21% Part Time, and 17% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $35,069 per year, or $16.9 per hour.
Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

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

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Posted 17 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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