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Remote Computer Science Teaching Jobs in Arlington, VA

... science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real ...

... 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 ...

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Statistics, Data Science, Computer Science, or Social Science and 3+ years of ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Statistics, Data Science, Computer Science or Social Science or 4+ years of ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Statistics, Data Science, Computer Science or Social Science, or 4+ years of ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Scientist (Remote)

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's degree in information technology, computer science, mathematics, or a related field ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's degree in information technology, computer science, mathematics, or a related field ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Showing results 41-60

Remote Computer Science Teaching information

See Arlington, VA salary details

$42K

$75.3K

$139.8K

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

As of Aug 19, 2026, the average yearly pay for remote computer science teaching in Arlington, VA is $75,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $80,000.00 per year, depending on experience, location, and employer.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

What are popular job titles related to Remote Computer Science Teaching jobs in Arlington, VA?

For Remote Computer Science Teaching jobs in Arlington, VA, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Teaching jobs in Arlington, VA look for?

The top searched job categories for Remote Computer Science Teaching jobs in Arlington, VA are:

What cities near Arlington, VA are hiring for Remote Computer Science Teaching jobs?

Cities near Arlington, VA with the most Remote Computer Science Teaching job openings:

Infographic showing various Remote Computer Science Teaching job openings in Arlington, VA as of August 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% Remote job distribution, with an average salary of $75,321 per year, or $36.2 per hour.

Technical Scientist - SME

GRVTY

Springfield, VA • On-site, Remote

Full-time

Posted 9 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a Customer site in Herndon, Virginia.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.