2

Remote Grading Jobs in California (NOW HIRING)

Senior Civil Engineer - Level 4

Irvine, CA · On-site +1

$145K - $170K/yr

Remote SENIOR CIVIL ENGINEER LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine ... This role requires advanced expertise in grading design, hydrology modeling, stormwater management ...

PreK Teacher

San Jose, CA · Remote

$35/hr

Remote Intended Start Date: Training and Lesson Preparation will begin ASAP. Classes are set to ... Grading homework and communicating with parents weekly to update them on students' learning ...

PreK Teacher

San Jose, CA · Remote

$35/hr

Remote Intended Start Date: Training and Lesson Preparation will begin ASAP. Classes are set to ... Grading homework and communicating with parents weekly to update them on students' learning ...

Flexible remote work * Teaching Fee: $30/hour * Non-Teaching Fee: $16-20/hour; Includes class preparation and after-class services such as grading homework, replying to parent messages, periodically ...

Remote Commitment: ~10 hours/week Role Responsibilities * Solve research-level physics challenges ... Author Python answer templates with auto-grading functions for symbolic or numerical answers.

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... S. curriculum and grading standards Ability to tutor a range of Science subjects between 6th grade ...

Showing results 21-40

Remote Grading information

See California salary details

$40K

$43K

$45.4K

How much do remote grading jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote grading in California is $42,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $44,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote grading, and why are they important?

To excel in Remote Grading, you should possess strong subject matter expertise, attention to detail, and proficiency in assessment or evaluation methods, often supported by a relevant degree or teaching experience. Familiarity with online grading platforms (such as Blackboard, Canvas, or proprietary systems) and digital communication tools is typically required. Excellent time management, self-motivation, and impartial judgment are standout soft skills for this role. These abilities ensure consistent, accurate, and timely assessment of student work in a remote, independent environment.

What are the typical responsibilities and workflow for remote grading?

Remote Grading professionals are usually responsible for evaluating student assignments, exams, or projects according to detailed rubrics or guidelines provided by educational institutions or online course providers. You will review and assess submissions using specified criteria, provide constructive feedback, and enter grades into digital platforms, often within set deadlines. Daily tasks may involve managing batches of assignments, communicating with instructional staff for clarification, and following up on student progress where applicable. The workflow is often self-paced but requires excellent organization and adherence to grading timelines. Remote Graders usually work independently but may participate in virtual team meetings or professional development sessions to ensure consistency and quality in grading standards.

What is remote grading?

A Remote Grading job involves evaluating and providing feedback on student assignments, exams, or coursework from a remote location. Graders typically follow specific guidelines and rubrics set by an educational institution or company. This role may require expertise in a particular subject and proficiency in assessing academic work fairly and accurately. Remote graders communicate feedback through written comments and may use online grading platforms. It's a flexible job that allows professionals to work from home while contributing to education.

What are the most commonly searched types of Grading jobs in California? The most popular types of Grading jobs in California are:
What cities in California are hiring for Remote Grading jobs? Cities in California with the most Remote Grading job openings:
Infographic showing various Remote Grading job openings in California as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,994 per year, or $20.7 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 4 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").