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Remote Computer Science Teaching Associate Jobs in New Hampshire

Cisco

Software Security Lead (Remote)

Concord, NH · Remote

The application window is expected to close on: 10/01/2026 This is a remote role and work may be ... Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ...

Cisco

Software Security Lead (Remote)

Concord, NH · Remote

The application window is expected to close on: 10/01/2026 This is a remote role and work may be ... Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

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All JobsComputer Science Teaching Associate JobsRemote Computer Science Teaching Associate JobsRemote Computer Science Teaching Associate Jobs in New Hampshire

Remote Computer Science Teaching Associate information

What is a remote computer science teaching associate?

A Remote Computer Science Teaching Associate is an educational professional who assists in teaching computer science courses in an online or virtual environment. Their responsibilities typically include supporting lead instructors, helping students with coursework, grading assignments, and facilitating discussions in virtual classrooms. This role allows for flexibility, as all interactions and duties are performed remotely, making it possible to work from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote computer science teaching associate?

To thrive as a Remote Computer Science Teaching Associate, a solid background in computer science fundamentals, programming languages, and a relevant degree or teaching credential are essential. Familiarity with online learning platforms (such as Zoom, Google Classroom, or Canvas) and coding environments is typically required. Strong communication, adaptability, and the ability to engage and motivate students remotely are standout soft skills. These competencies ensure effective instruction, student engagement, and a positive virtual learning experience.

What are some common challenges faced by remote computer science teaching associates when engaging students online?

Remote Computer Science Teaching Associates often encounter challenges such as maintaining student engagement and participation in virtual classrooms. Without physical presence, it can be harder to gauge students’ understanding and adapt teaching methods in real time. Effective associates use interactive tools, frequent check-ins, and collaborative projects to foster a sense of community and keep students motivated. Building strong communication channels with both students and faculty is essential for addressing issues promptly and supporting learners effectively.

What is the difference between Remote Computer Science Teaching Associate vs Remote Computer Science Tutor?

AspectRemote Computer Science Teaching AssociateRemote Computer Science Tutor
CredentialsTypically requires a degree in computer science or related field, teaching experience preferredOften requires expertise in specific programming languages or subjects, certifications optional
Work EnvironmentEmployed by educational institutions or online platforms, structured curriculumFreelance or platform-based, flexible scheduling, personalized sessions
Employer & Industry UsageUsed mainly in academic settings, online education programsCommon in private tutoring platforms, online education services

While both roles involve teaching computer science remotely, the Remote Computer Science Teaching Associate typically works within formal educational programs with structured curricula, whereas the Remote Computer Science Tutor offers more flexible, personalized instruction often on a freelance basis.

What are popular job titles related to Remote Computer Science Teaching Associate jobs in New Hampshire?

For Remote Computer Science Teaching Associate jobs in New Hampshire, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Teaching Associate jobs in New Hampshire look for?

The top searched job categories for Remote Computer Science Teaching Associate jobs in New Hampshire are:

What cities in New Hampshire are hiring for Remote Computer Science Teaching Associate jobs?

Cities in New Hampshire with the most Remote Computer Science Teaching Associate job openings:

Remote Computer Science Teaching Associate jobs near you
Infographic showing various Remote Computer Science Teaching Associate job openings in New Hampshire as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Postdoctoral Research Associate

Durham, NH • On-site, Remote

University System of New Hampshire
See more jobs at University System of New Hampshireexternal

$55K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Conduct research to understand how terrestrial ecosystems respond to climate extremes and disturbances using ground-based and satellite observations, as well as machine learning/deep learning methods.

  • Lead manuscript preparation and conference presentations on project findings, focusing on publishing high-quality and high-impact papers.

University System Of New Hampshire rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

48th of 633 rated colleges and universities

Job description

USNH Employees should apply within Workday through the Jobs Hub app

The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how ecosystem functioning, productivity, carbon uptake/stock, and resilience respond to climate change, and how these responses are mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions.
This position is funded by NASA. The appointment is for one year initially and may be renewed depending on funding availability and satisfactory performance.

Duties/Responsibilities

  • Conduct novel research to understand how terrestrial ecosystems respond to climate extremes (e.g., drought, heatwaves) and disturbances, and how these responses are mediated by biodiversity and management, using state-of-the-art ground-based and satellite observations as well as machine learning/deep learning methods.

  • Lead manuscript preparation and conference presentations on project findings, with a strong emphasis on publishing high-quality and high-impact papers.

Requirements

Minimum Acceptable Education & Experience:

  • A Ph.D. in areas such as ecology, remote sensing, atmospheric sciences/meteorology, biogeosciences, forestry/natural resources, environmental science, or a related field is required.

Knowledge, Skills & Abilities:

  • Applicants should be enthusiastic, creative, and highly motivated. Ideal candidates should have one or more of the following experiences: mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing of large data sets, machine learning/deep learning, Earth system modeling, and synthesis of in-situ observations.

  • Strong communication, writing, and programming skills and publication record are highly desirable.

Applicant Instructions

Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:

  • Resume/CV

  • Cover Letter

  • Contact Information for 3 Professional References

Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.

Compensation Pay Range:

$55,000

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures.

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire's lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: USNH Employee Benefits | Human Resources

Location:

Durham

Salary Grade:

Faculty 01

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