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Remote Computer Science Teacher Jobs in Virginia

The Chief Scientist will provide day-to-day technical management of the Nonconventional ... M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience. Experience ...

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... Computer Science, Information Technology, or a related discipline (or equivalent experience) • 8+ years experience in data engineering development • 5+ years experience working in object oriented ...

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Remote Computer Science Teacher information

See Virginia salary details

$36.2K

$64.9K

$120.5K

How much do remote computer science teacher jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote computer science teacher in Virginia is $64,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $68,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Computer Science Teachers, and how can they be addressed?

Remote Computer Science Teachers often face challenges such as maintaining student engagement in a virtual setting, adapting teaching materials for online delivery, and addressing varying levels of students’ technical proficiency. Building interactive lessons using screen sharing, coding platforms, and real-time feedback tools helps keep students involved and ensures effective learning. Regular communication, virtual office hours, and fostering a collaborative online classroom culture can also address feelings of isolation and support students’ success. Proactively seeking professional development and sharing best practices with fellow educators can further enhance your teaching effectiveness in a remote environment.

What is a Remote Computer Science Teacher job?

A Remote Computer Science Teacher is an educator who teaches computer science concepts and programming skills to students in an online format. They design lesson plans, deliver virtual lectures, and provide support through interactive platforms. Responsibilities may include grading assignments, conducting live coding sessions, and adapting curriculum to different learning levels. This role requires strong technical knowledge, effective communication skills, and proficiency with online teaching tools.

What are the key skills and qualifications needed to thrive in the Remote Computer Science Teacher position, and why are they important?

To thrive as a Remote Computer Science Teacher, you need a solid understanding of computer science fundamentals, programming languages, and curriculum development, usually backed by a degree in computer science or education. Familiarity with virtual classroom platforms, learning management systems (LMS), and relevant teaching certifications is highly beneficial. Excellent communication, patience, and strong organizational skills help foster student engagement and effective learning in an online environment. These strengths are essential for delivering clear instruction, managing virtual classrooms, and ensuring students achieve their learning goals remotely.

What are the most commonly searched types of Computer Science Teacher jobs in Virginia? The most popular types of Computer Science Teacher jobs in Virginia are:
What are popular job titles related to Remote Computer Science Teacher jobs in Virginia? For Remote Computer Science Teacher jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote Computer Science Teacher jobs? Cities in Virginia with the most Remote Computer Science Teacher job openings:
Infographic showing various Remote Computer Science Teacher job openings in Virginia as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $64,909 per year, or $31.2 per hour.
AGS Scientist

AGS Scientist

Axiologic Solutions LLC

Springfield, VA • On-site, Remote

Full-time

Posted 26 days ago


Job description

Based in Northern Virginia, Axiologic Solutions LLC, has an opportunity for you to become part of our high-quality team that delivers innovative solutions to key federal clients. We are currently seeking a Total Lifecycle Acquisition Expert to support our growing team.

 Overall Assignment Description:

IPA requires an expert scientist for the AGS project.  Specific duties to be performed by the contractor are listed below.

Duties include:

The Chief Scientist will provide day-to-day technical management of the Nonconventional

Exploitation Factors Data System (NEFDS) to include:

Translate existing requirements of users into epics, features, user stories and acceptance criteria based on an understanding of the different physical phenomenology's being exploited.

Collect and analyze ground truth data to determine the validity and accuracy of NEFDS and Radiance non-literal exploitation tools.

Participate in data analysis TEMs along with NRFDS and/or Radiance contractors and NGA scientists to determine the validity of laboratory collected material signatures and

spectral/atmospheric models.

Actively participate in Agile user engagement activities, including:

Release planning events.

Backlog grooming.

Sprint planning meetings.

Scrums.

Working software demos.

Acceptance criteria sign-off.

Interface with NEFDS and Radiance scientists (including the Radiance Chief Scientist) to support the development of novel concepts for new non-literal exploitation capabilities inspired by the introduction of new sensors, mission partner products, and new research from NGA scientists, the IC community, and the broader scientific community.

Prepare documentation required during the entire product development process including pre[1]solicitation (requirements documents, program briefing materials, white papers on new scientific concepts for non-literal exploitation tools) solicitation (RFP documents, source selection advisor reports), execution (Task orders, task order evaluation reports, scientific white papers, briefing packages, RFC documentation).

Required:

M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience.

Experience in imaging and non-literal exploitation algorithms.

Experience in multi-spectral imaging (including hyper-spectral and polarimetric imaging) and spectral exploitation algorithms.

Experience in synthetic aperture radar (SAR) and Ground Moving Target Indicator (GMTI) processing radar exploitation algorithms.

Experience in developing algorithms for advanced geospatial-intelligence phenomenology's.

Experience using AGITK thick-client, AEIA widgets and services, and NEFDS.

Program Management Professional (PMP) or equivalent certification.

Agile certifications (such as Certified Scrum Product Owner (CSPO) or SAFe Agilist certification) or equivalent experience.

Desired:

       Ph.D. in physics, engineering, or remote-sensing.

       Detailed understanding of how the National Technical Means (NTM), commercial, and  airborne imagery flows work within the NSG architecture and how the data is exchanged  from one segment to another.

       Understand the geospatial intelligence mission and its' contributions to the IC and DoD.

       Familiarity with NGA dissemination and storage systems, to include IDS-D, NGL, STIL, IPL,   and WARP

       Experience with the current NGA organizational structure, acquisition policies, and Configuration Management Process

Employment Type: full-time