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Remote Grading Jobs in New York (NOW HIRING)

Remote Commitment: 10-20 hours/week Role Responsibilities * Transcribe and optimize audio and video ... Conduct model testing and grading, evaluating outputs for accuracy and clarity. * Provide ...

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Remote Grading information

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$44.3K

$47.7K

$50.3K

How much do remote grading jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote grading in New York is $47,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $49,200.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Grading jobs in New York?

The most popular types of Grading jobs in New York are:

What job categories do people searching Remote Grading jobs in New York look for?

The top searched job categories for Remote Grading jobs in New York are:

What cities in New York are hiring for Remote Grading jobs?

Cities in New York with the most Remote Grading job openings:

Infographic showing various Remote Grading job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,662 per year, or $22.9 per hour.

Physics Expert - Fully Remote | Upto $135/hr

Mercor

New York, NY โ€ข Remote

$135/hr

Full-time

Posted 11 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: Research Physics Expert
Type: Contract
Compensation: $80–$135/hour
Location: Remote
Commitment: ~10 hours/week

Role Responsibilities

  • Solve research-level physics challenges end-to-end with verifiable derivations, Python code, and peer-reviewed references.
  • Decompose challenges into standalone checkpoint sub-problems requiring genuine physical reasoning.
  • Author Python answer templates with auto-grading functions for symbolic or numerical answers.
  • Audit submitted solutions for correctness, scope, and method soundness; deliver actionable feedback across iterations.
  • Adjudicate between parallel solver attempts and decide which solution becomes the golden reference.
  • Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases.

Qualifications

Must-Have

  • PhD or postdoc in the relevant subfield (senior PhD student minimum).
  • Postdoc or junior professor in the relevant subfield (PhD minimum).
  • Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum).
  • Hands-on familiarity with at least two canonical methods of the target subfield, demonstrable through publications.
  • 3–5 representative publications (arXiv ID or DOI), ideally within the last ~5 years and in the target subfield.
  • Working proficiency with LaTeX, Python, Jupyter, and SymPy.
  • Strong written English (B2/C1/C2 minimum; native or near-native preferred).

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.