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Remote Computer Science Student Jobs in Woodbridge, VA

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

Pursuing or recently completed a degree in Computer Science, Cybersecurity, Engineering, Data ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... Job Specific Requirements: -Bachelor's degree in data science, statistics, mathematics, computer ...

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 ...

ManTech

Senior Data Scientist

Arlington, VA · On-site +1

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will ... Bachelor of Science degree in a relevant field such as statistics, computer science, economics ...

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 Student information

What is a remote computer science student?

A remote computer science student is someone who is studying computer science online, rather than attending classes in person. This allows them to access coursework, lectures, and assignments through digital platforms from anywhere with an internet connection. Remote students often interact with professors and classmates via email, discussion boards, or video calls. This flexible learning format can be beneficial for those balancing other commitments or living far from campus.

What are some effective strategies for staying engaged and productive as a remote computer science student?

As a remote computer science student, maintaining engagement and productivity can be challenging due to fewer in-person interactions and the need for self-discipline. Setting a structured daily schedule, actively participating in virtual discussions, and regularly collaborating with peers on group projects can help. Utilizing online resources, seeking feedback from instructors, and joining virtual study groups are also effective ways to stay connected and motivated. It's important to create a dedicated workspace and set clear goals to manage your time efficiently and avoid distractions.

What are the key skills and qualifications needed to thrive as a remote computer science student, and why are they important?

To thrive as a Remote Computer Science Student, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by enrollment in a computer science degree program. Familiarity with coding platforms (like GitHub), learning management systems (such as Canvas or Blackboard), and collaboration tools (like Zoom and Slack) is common. Self-motivation, time management, and strong written communication skills are essential soft skills for remote study success. These competencies ensure effective learning, collaboration, and progress in a virtual academic environment.

What is the difference between Remote Computer Science Student vs Remote Software Developer?

AspectRemote Computer Science StudentRemote Software Developer
Required CredentialsEnrolled in a computer science program, often no professional certifications neededTypically holds a degree or certification in software development or related field
Work EnvironmentPart-time or internship roles, flexible hours, learning-focusedFull-time or project-based, professional work environment
Employer & Industry UsageEducational institutions, internships, entry-level projectsTech companies, startups, freelance projects
Search & Comparison IntentLooking for learning opportunities, internships, or entry-level rolesSeeking professional remote software development jobs

The main difference between a Remote Computer Science Student and a Remote Software Developer lies in their experience and employment status. Students focus on learning and internships, often without professional certifications, while software developers are experienced professionals working on projects. Both roles may work remotely, but their responsibilities and career stages differ.

Can I work remotely with a remote computer science student?

A remote computer science student can often work remotely in internships, part-time roles, or freelance projects that match their skills and schedule. Many tech companies and startups offer remote opportunities that require knowledge of programming languages, collaboration tools, and self-motivation. However, eligibility may depend on the employer's requirements and the student's availability.

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

The top searched job categories for Remote Computer Science Student jobs in Woodbridge, VA are:

What cities near Woodbridge, VA are hiring for Remote Computer Science Student jobs?

Cities near Woodbridge, VA with the most Remote Computer Science Student job openings:

Remote Computer Science Student jobs near you

Red Teaming Fellowship

Washington, DC • On-site, Remote

10a Labs
See more jobs at 10a Labsexternal

$32.50/hr

Full-time

Re-posted 9 days ago

Job description

About the role: As a Red Teaming Fellow, you will help evaluate the safety, security, and reliability of advanced AI systems. Fellows work alongside researchers, engineers, and subject-matter experts to identify vulnerabilities, uncover failure modes, and generate insights that help organizations deploy AI systems more safely.

This is a hands-on fellowship at the intersection of AI, security, and adversarial testing. Fellows will contribute to real-world evaluations of frontier models and AI-enabled systems, helping design and execute tests that probe how models behave under challenging or unexpected conditions. 

In this role, you will:

  • Conduct adversarial testing of AI systems across safety, security, and misuse scenarios
  • Design and execute red teaming exercises against models, agents, and AI-enabled applications
  • Develop prompts, attack strategies, and test cases to identify vulnerabilities and failure modes
  • Analyze model behavior and document findings in clear, actionable reports
  • Support the development of evaluation frameworks, taxonomies, and testing methodologies
  • Research emerging AI threats, attack techniques, and risk trends
  • Collaborate with engineers, researchers, and subject-matter experts to investigate emerging risks and threat vectors
  • Develop front-end dashboards and other visualizations  

Qualifications:

  • Pursuing or recently completed a degree in Computer Science, Cybersecurity, Engineering, Data Science, Mathematics, Political Science, International Relations, or a related field 
  • Strong interest in AI safety, cybersecurity, red teaming, or adversarial testing
  • Familiarity with AI abuse including jailbreaking, system prompt extraction, indirect prompt injection, data exfiltration, etc. 
  • Strong analytical, research, problem-solving, and communication skills
  • Ability to think creatively from an adversarial perspective
  • Ability to work independently and collaboratively in a remote environment
  • Experience with Python, Bash, large language models, AI systems, cybersecurity, or research methodologies preferred
  • Proficiency in a language other than English preferred

Benefits:

  • Flexible start / end dates
  • Remote work (based in the continental U.S.) 
  • Flexible schedule, up to 20 hours per week (negotiable)
  • Hourly pay commensurate with experience and qualifications
  • $25 per hour for undergraduate students 
  • $32.50 per hour for graduate students

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