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Remote Grading Papers Jobs in California (NOW HIRING)

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Remote Grading Papers information

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$43K

$45.4K

How much do remote grading papers jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote grading papers 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 is remote grading papers?

A Remote Grading Papers job involves evaluating and grading student assignments, essays, or exams from a remote location. Graders follow provided rubrics and guidelines to ensure fair and consistent assessments. These roles are often found in educational institutions, online learning platforms, or standardized testing organizations. Typically, graders must have subject expertise and strong attention to detail.

What are the key skills and qualifications needed to thrive in remote grading papers?

To thrive in a Remote Grading Papers role, you should have a solid academic background in the relevant subject area, strong analytical skills, and attention to detail. Familiarity with online learning management systems (LMS), digital grading tools, and secure file sharing platforms is typically required. Outstanding time management, clear written communication, and the ability to provide constructive feedback are valuable soft skills in this position. These abilities ensure accurate, timely, and helpful evaluations that support student learning in a remote environment.

What are some common challenges when grading papers remotely and how can they be managed?

One common challenge in remote grading is maintaining consistency and objectivity without face-to-face interactions with students or colleagues. Distractions in a home environment and varying quality of student submissions can also impact the grading process. To manage these challenges, it is important to create a structured work schedule, adhere to detailed grading rubrics, and communicate clearly with supervisors or teaching staff when questions arise. Many organizations also offer collaborative platforms for graders, enabling you to seek clarification and share best practices with peers.

What are the most commonly searched types of Grading Papers jobs in California?

The most popular types of Grading Papers jobs in California are:

What are popular job titles related to Remote Grading Papers jobs in California?

For Remote Grading Papers jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Grading Papers jobs in California look for?

The top searched job categories for Remote Grading Papers jobs in California are:

What cities in California are hiring for Remote Grading Papers jobs?

Cities in California with the most Remote Grading Papers job openings:

Remote Grading Papers jobs near you
Infographic showing various Remote Grading Papers job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $42,994 per year, or $20.7 per hour.

Computational Mathematician - Fully Remote | Upto $70/hr

Mercor

San Francisco, CA • Remote

$70/hr

Full-time

Posted 5 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on sourced inputs.
  • Build grading criteria to define correct answers.
  • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
  • Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
  • Working proficiency in Python for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.