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Remote Computer Science Teacher Jobs in Springfield, VA

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Full Stack Engineer (Remote)

Washington, DC · Remote

$125K - $185K/yr

Bachelor Science degree in Computer Science or Computer Engineering or equivalent with some courses ... Remote with quarterly all-hands in-person. This role compensation is consisting of pay and ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

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 ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

RapidSoft Corp

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 Springfield, VA salary details

$38.1K

$68.4K

$126.9K

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

As of Jul 8, 2026, the average yearly pay for remote computer science teacher in Springfield, VA is $68,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $72,600.00 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 popular job titles related to Remote Computer Science Teacher jobs in Springfield, VA? For Remote Computer Science Teacher jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Teacher jobs in Springfield, VA look for? The top searched job categories for Remote Computer Science Teacher jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Computer Science Teacher jobs? Cities near Springfield, VA with the most Remote Computer Science Teacher job openings:
Remote Computer Science Teacher jobs near you
Infographic showing various Remote Computer Science Teacher job openings in Springfield, VA as of July 2026, with employment types broken down into 2% Internship, 59% Full Time, 34% Part Time, 2% Temporary, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,386 per year, or $32.9 per hour.
Associate Manager, AI and Data Science

Associate Manager, AI and Data Science

Strategic Education, Inc.

Herndon, VA • On-site, Remote

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Strategic Education rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

10th of 198 rated education and training

Job description

Reporting to the Sr. Manager, Analytic Consulting in Enterprise Analytics & Insights. This person leads a team of Data Scientists focused on delivering scalable analytics, machine learning, and Generative AI solutions that drive measurable business impact. This role combines people leadership, technical oversight, and strategic partnership to ensure successful execution of AI and analytics initiatives across the organization.
Essential Duties & Responsibilities:
This role leads, mentors, and develops a team of Data Scientists and analytics professionals while providing technical guidance, career development, and performance feedback. The position balances people leadership with hands-on contributions, dedicating approximately half of the time to analytics, machine learning, and AI solution development. The individual establishes team standards, workflows, and best practices, and partners with business stakeholders to identify and prioritize high-value analytics and AI opportunities aligned with organizational goals. Responsibilities include guiding the design, development, deployment, and operationalization of machine learning and LLM-powered solutions, driving Generative AI use cases such as summarization, classification, embeddings, and decision support, and enabling scalable deployment through CI/CD pipelines, Airflow orchestration, and MLOps practices. The role ensures model performance, governance, and reliability, translates analytical outcomes into actionable business insights, and builds executive-ready dashboards and data storytelling capabilities using Power BI or similar tools. Additionally, the role collaborates cross-functionally with Engineering, Product, IT, and business teams, promotes responsible AI and data governance practices, drives process improvements and operational efficiencies, supports hiring and onboarding, and fosters a collaborative, innovative, and continuous learning culture across the team.
Job Skills:
  • Strong leadership and team management skills with the ability to mentor and develop high-performing analytics teams
  • Expertise in machine learning, statistical modeling, and advanced analytics techniques
  • Hands-on experience with Generative AI, Large Language Models (LLMs), and related use cases (e.g., summarization, classification, retrieval, embeddings)
  • Proficiency in Python (preferred), SQL, and data manipulation frameworks (e.g., pandas, NumPy)
  • Experience with ML frameworks and libraries (e.g., scikit-learn, LightGBM, TensorFlow, PyTorch)
  • Knowledge of MLOps practices, including model deployment, monitoring, CI/CD pipelines, and workflow orchestration (e.g., Airflow)
  • Experience working with cloud platforms (e.g., GCP, Azure, AWS) for scalable analytics and AI solutions
  • Strong data visualization and storytelling skills using tools such as Power BI, Tableau, or similar platforms
  • Ability to translate complex analytical and AI concepts into clear, actionable business insights
  • Strong problem-solving and critical thinking skills with a data-driven mindset
  • Effective stakeholder management and cross-functional collaboration skills
  • Understanding of data governance, responsible AI practices, and data privacy standards
  • Ability to manage multiple priorities and drive initiatives in a fast-paced environment

Work Experience:
  • 5+ years of experience in data science, advanced analytics, AI, or related fields
  • 1+ years of people leadership, technical leadership, or team lead experience preferred
  • Proven experience delivering production-grade ML or AI solutions
  • Experience leading cross-functional analytics initiatives
  • Experience operationalizing GenAI or LLM-based applications preferred

Education:
  • Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field required
  • Master's degree in data science, Computer Science, Analytics, Artificial Intelligence, or a related field preferred

Other:
  • Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve planes, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 - 20%) or Capella Core Faculty (5 - 10%).
  • Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
  • If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
  • Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
  • This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
  • Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
  • Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
  • Able to access information using a computer.
  • Other essential functions and marginal job functions are subject to modification.

SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable.
Careers - Our Benefits, Strategic Education, Inc
SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.
$95,100.00 - $142,600.00 - Salary
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

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