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Intern Math Textbook Publishers Jobs in Washington, DC

Intern Math Textbook Publishers information

See Washington, DC salary details

$10

$19

$27

How much do intern math textbook publishers jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for intern math textbook publishers in Washington, DC is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern at a Math Textbook Publisher, and why are they important?

To thrive as an Intern at a Math Textbook Publisher, you need a solid understanding of mathematics, attention to detail, and strong written communication skills, often supported by coursework in math or education. Familiarity with Microsoft Office, LaTeX, and educational publishing platforms is beneficial. Collaboration, adaptability, and problem-solving abilities help interns contribute effectively to content development and editorial processes. These skills ensure that math materials are accurate, clear, and engaging for students, supporting the publisher's educational goals.

What types of projects and responsibilities can an intern expect when working with a math textbook publishing team?

As an intern with a math textbook publisher, you can expect to assist with a variety of tasks such as reviewing and proofreading manuscript drafts, checking mathematical accuracy, and supporting the development of supplementary materials like solution manuals or digital content. You may also help with research for new topics, coordinate feedback from educators, and collaborate with editors, designers, and subject matter experts. This role provides valuable exposure to the entire textbook creation process and offers opportunities to develop skills in editing, project management, and teamwork.

What does an intern at a math textbook publishing company do?

An intern at a math textbook publishing company typically assists with tasks such as reviewing and editing math content, checking the accuracy of textbook problems, helping to format and proofread manuscripts, and supporting the development of educational materials. They may also conduct research, organize resources, and collaborate with editors, authors, and designers. The internship provides valuable experience in educational publishing and insight into how math textbooks are created and produced.

What is the difference between Intern Math Textbook Publishers vs Intern Educational Content Developers?

AspectIntern Math Textbook PublishersIntern Educational Content Developers
CredentialsEnrolled in education, math, or publishing-related programsEnrolled in education, curriculum design, or related fields
Work EnvironmentPublishing houses, editorial teams, academic settingsEducational companies, e-learning platforms, curriculum teams
Industry UsagePublishing textbooks, academic materialsCreating digital or print educational content
Search IntentInternship in textbook publishing, math educationInternship in educational content creation, curriculum development

Intern Math Textbook Publishers typically focus on assisting in the production and editing of math textbooks within publishing companies. In contrast, Intern Educational Content Developers work on designing and developing educational materials, often for digital platforms or curricula. Both roles require related educational backgrounds and are common entry points into the education publishing industry, but they differ in their specific focus and work environment.

What are popular job titles related to Intern Math Textbook Publishers jobs in Washington, DC? For Intern Math Textbook Publishers jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Intern Math Textbook Publishers jobs in Washington, DC look for? The top searched job categories for Intern Math Textbook Publishers jobs in Washington, DC are:
AI/ML Research and Development Intern

AI/ML Research and Development Intern

The Pennsylvania State University

Reston, VA • On-site, Remote

$15.50 - $20.75/hr

Part-time

Re-posted 25 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. looking to support our mission to discover, demonstrate, transition, and educate.Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding.

Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of this position, the candidate may:

  • Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
  • Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
  • Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
  • Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs.

Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelors degree and be enrolled in a masters or higher level degree program

Experience in machine learning is preferred.

Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided.

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).

FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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