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Remote Grading Papers Jobs in San Rafael, CA (NOW HIRING)

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Remote Grading Papers information

See San Rafael, CA salary details

$45.1K

$48.6K

$51.3K

How much do remote grading papers jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote grading papers in San Rafael, CA is $48,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $50,200.00 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 popular job titles related to Remote Grading Papers jobs in San Rafael, CA?

For Remote Grading Papers jobs in San Rafael, CA, the most frequently searched job titles are:

What cities near San Rafael, CA are hiring for Remote Grading Papers jobs?

Cities near San Rafael, CA with the most Remote Grading Papers job openings:

Remote Grading Papers jobs near you
Infographic showing various Remote Grading Papers job openings in San Rafael, CA as of July 2026, with employment types broken down into 64% Full Time, 32% Part Time, 2% Temporary, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $48,562 per year, or $23.3 per hour.

Computational Chemist - Fully Remote | Upto $70/hr

Mercor

San Francisco, CA • Remote

$70/hr

Full-time

Posted 4 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: Chemistry 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 the input to challenge current AI models.
  • Build grading criteria that define correct answers for scientific tasks.
  • Calibrate tasks against frontier models, ensuring they are challenging for strong models.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field.
  • Demonstrated depth in both quantum chemistry and computational chemistry.
  • Working proficiency in Python, R, or another relevant programming language 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

Application Process (Takes 20–30 mins to complete)

  • Upload 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

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.