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Mathematics Editor Jobs in Virginia (NOW HIRING)

CJK Group

Senior Editorial Manager

Glen Allen, VA · On-site

Provide leadership, guidance, and mentorship to a team of math writers and editors. * Ensure content meets the highest standards of mathematical accuracy, clarity, consistency, and alignment.

Varsity Tutors

SHSAT Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

Varsity Tutors

SHSAT Tutor

Salem, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

Varsity Tutors

SHSAT Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

Varsity Tutors

SHSAT Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

Varsity Tutors

SHSAT Tutor

Fairfax, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

Varsity Tutors

SHSAT Tutor

Leesburg, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

Varsity Tutors

SHSAT Tutor

Richmond, VA · Remote

$18 - $40/hr

Deep knowledge of SHSAT English Language Arts including revising and editing and reading comprehension, and Mathematics including word problems, algebra, geometry, probability, and statistics.

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Mathematics Editor information

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$11

$31

$57

How much do mathematics editor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for mathematics editor in Virginia is $31.33, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $39.33 per hour, depending on experience, location, and employer.

What is a mathematics editor?

A Mathematics Editor reviews, edits, and refines mathematical content to ensure accuracy, clarity, and consistency. They work on textbooks, research papers, educational materials, or digital content, checking for errors in calculations, notation, and terminology. They may also collaborate with authors, educators, and publishers to improve the presentation of mathematical concepts. Strong subject knowledge, attention to detail, and proficiency in typesetting tools like LaTeX are often required for this role.

What are the key skills and qualifications needed to thrive as a mathematics editor?

To thrive as a Mathematics Editor, you need an in-depth understanding of mathematical concepts, a relevant academic background (such as a degree in mathematics or a related field), and strong editorial experience. Familiarity with typesetting tools like LaTeX, mathematical editing software, and publishing standards such as Chicago or APA style guides is typically required. Attention to detail, critical thinking, and excellent communication skills are vital soft skills for ensuring clarity and accuracy in mathematical content. These competencies ensure precise editing, effective collaboration with authors and subject matter experts, and the production of high-quality, error-free publications.

What are some common challenges faced by mathematics editors, and how can they be addressed?

Mathematics Editors often encounter challenges such as ensuring the accuracy of complex equations, clarifying ambiguous explanations, and maintaining consistency in notation and formatting. Addressing these challenges involves collaborating closely with authors, using specialized editing tools, and staying updated on best practices in mathematical writing. Working as part of a team with other editors and subject-matter experts also helps in resolving difficult editorial decisions. Strong organizational skills and attention to detail are essential for managing multiple projects and meeting deadlines in a fast-paced publishing environment.

What are popular job titles related to Mathematics Editor jobs in Virginia?

For Mathematics Editor jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Mathematics Editor jobs in Virginia look for?

The top searched job categories for Mathematics Editor jobs in Virginia are:

Mathematics Editor jobs near you
Infographic showing various Mathematics Editor job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $65,164 per year, or $31.3 per hour.

Postdoctoral Research Associate, Machine Unlearning and Model Editing for AI Biosecurity

University of Virginia

Charlottesville, VA • On-site

$60K - $75K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 22 days ago

Key responsibilities

  • Implement and compare machine unlearning and model editing methods, including gradient-based fine-tuning, representation-level edits, and inference-time steering

  • Design and run experiments to measure how interventions affect benchmark scores and real-world task performance, producing safety-utility curves

  • Lead engineering of the open-source UBS-Bio evaluation suite, including baselines, metrics, and documentation

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

213th of 631 rated colleges and universities

Job description

About the School
The University of Virginia School of Data Science, the first of its kind in the nation, advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, and statistics to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.
About the Position
This position develops and evaluates machine unlearning and model editing methods that selectively reduce hazardous biological capabilities in AI systems while preserving beneficial scientific functions . The researcher reports to Assistant Professor Tom Hartvigsen and will work closely with other SDS faculty members including Chirag Agarwal , and Stephen Turner, and works with faculty in interpretability and with a laboratory partner that leads adversarial red teaming. The role centers on implementing , innovating, and comparing model editing and unlearning methods , measuring safety - -utility tradeoffs against both benchmarks and realistic task batteries, and leading technical development of an open evaluation suite for AI biosecurity. Strong f amiliarity with biology and biosecurity is important , as the work targets biological capabilities and connects to a human-subjects evaluation running in parallel.
Key Responsibilities
  • Implement and compare machine unlearning and model editing methods, including gradient-based fine-tuning, representation-level edits, and inference-time steering

  • Design and run experiments that measure how interventions affect benchmark scores and real-world task performance, producing safety-utility curves

  • Develop adversarial testing protocols with the laboratory partner, including prompt-based jailbreaks, fine-tuning recovery, and ensemble attacks

  • Lead engineering of the open-source UBS-Bio evaluation suite, including baselines, metrics, and documentation

  • Support interpretability analyses that identify which model representations encode hazardous versus beneficial capabilities

  • Prepare and present manuscripts and publish and maintain reproducible code releases

Minimum Qualifications
  • Doctoral degree (PhD or equivalent) in data science, computer science, machine learning, or a related field, completed at the time of hire

  • Strong programming in Python and hands-on experience with modern ML frameworks such as PyTorch and Hugging Face Transformers

  • Track record of publications in machine learning, natural language processing, and/or biosecurity

  • Demonstrated experience training, finetuning, or post-training for large language models

  • Software engineering practices that support reproducible and reusable research tools

Preferred Qualifications
  • Understanding of biology, biosecurity, or dual-use research considerations

  • Experience with machine unlearning, model editing, or related capability-mitigation methods

  • Experience with mechanistic interpretability or representation analysis

  • Familiarity with adversarial robustness, red-teaming, or jailbreak evaluation

  • Experience releasing and maintaining open-source ML evaluation tooling

  • Familiarity with secure computing environments and controlled-access model arrangements

Anticipated Salary: $60,000 - $75,000 per year
Anticipated Start Date: September 1, 2026
Health and Other Benefits
(visit Health and Other Benefits for additional information)
  • UVA Health Plan: the choice between 3 different health plans

  • Vision Coverage

  • Dental Plan

  • Benefit Savings Plans

  • Life Insurance

  • Disability Benefits

  • Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave

Education Benefits (visit Education Benefits for additional information)
After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:
  • Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program

  • Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.

Position Details
This position will remain open until it is filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; however, the appointment may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, term-limited (restricted), benefited position.
Application Process
Please apply online , and search for R0084978.
Complete an application online and attach:
Cover letter detailing your interest and relevant experience to this position Resume or CV Two letters of recommendation with contact information
Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
References will be completed via direct reach. Please plan to provide at least three references when applying.
A background check is required and will be conducted per university policy prior to the first day of employment.
For questions about the position , contact Associate Professor Stephen D. Turner at sdt5z@virginia.edu .
For questions about the application process, please contact Daniel Strong, Senior Human Resources Recruiter, at das6zb@virginia.edu .
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/ .
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Doctoral degree
Experience: None
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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