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Remote Computer Science Research Jobs in Virginia

Data Scientist

Reston, VA ยท On-site +1

Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics ... Operations Research * Quantitative Finance * Statistics * Experience analyzing real world data ...

Data Scientist

Reston, VA ยท On-site +1

Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics ... Operations Research * Quantitative Finance * Statistics * Experience analyzing real world data ...

z/OS Mainframe Developer (Remote)

Alexandria, VA ยท Remote

$52.50 - $67.50/hr

Research, design, implement, and manage software programs as well as testing and evaluating new ... A degree from an accredited College/University in Software Engineering, Computer Science, or ...

z/OS Mainframe Developer (Remote)

Alexandria, VA ยท On-site +1

$52.50 - $67.50/hr

Research, design, implement, and manage software programs as well as testing and evaluating new ... A degree from an accredited College/University in Software Engineering, Computer Science, or ...

z/OS Mainframe Developer (Remote)

Alexandria, VA ยท Remote

$52.50 - $67.50/hr

Research, design, implement, and manage software programs as well as testing and evaluating new ... A degree from an accredited College/University in Software Engineering, Computer Science, or ...

Engineering Data Scientist

Lynchburg, VA ยท On-site +1

$62K - $97K/yr

... in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required ... Nuclear Engineering, Facilities, R&D Engineer, Nuclear Physics, DoD, Engineering, Operations ...

Engineering Data Scientist

Lynchburg, VA ยท On-site +1

$62K - $97K/yr

... in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required ... Nuclear Engineering, Facilities, R&D Engineer, Nuclear Physics, DoD, Engineering, Operations ...

Scientific Data Analyst

Vienna, VA ยท Remote

$85K - $115K/yr

Remote Clearance Required: Public Trust - Federal Client requires US Citizenship Alpha Omega is ... Knowledge of behavioral and social science research methods. * Experience preparing with research ...

Systems Engineer

Springfield, VA ยท On-site +1

$110K - $180K/yr

... Research, Engineering Management, Computer Science, Information Technology, Management Information ... Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences ...

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Remote Computer Science Research information

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

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Researcher, and why are they important?

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

Is computer science dead due to AI?

Remote computer science research remains a vital field as AI advances, requiring expertise in algorithms, data analysis, and programming. AI tools can enhance research productivity but do not replace the need for foundational computer science skills and critical thinking. Continuous learning and adaptation are essential for computer scientists in this evolving landscape.

How to make $1000 a week remotely?

A remote computer science researcher can earn $1000 a week by taking on freelance projects, consulting, or contract work that leverages specialized skills such as programming, data analysis, or machine learning. Building a strong portfolio, networking, and using platforms like Upwork or Freelancer can help secure consistent high-paying assignments. Additionally, developing expertise in in-demand tools and obtaining relevant certifications can increase earning potential.

How can I make $100,000 a year working from home?

A remote computer science researcher can earn $100,000 annually by gaining specialized skills in high-demand areas such as machine learning, data analysis, or cybersecurity, and building a strong portfolio or reputation. Advanced degrees, certifications, and experience with programming languages like Python or R can also increase earning potential, often through consulting, freelance projects, or research positions with competitive salaries.

Can I work remotely with a computer science degree?

Remote computer science research positions are common and often require a degree in computer science or related fields. These roles typically involve skills in programming, data analysis, and research tools, and may require familiarity with collaboration platforms and remote work best practices.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Virginia? The most popular types of Computer Science Research jobs in Virginia are:
What cities in Virginia are hiring for Remote Computer Science Research jobs? Cities in Virginia with the most Remote Computer Science Research job openings:
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Virginia Beach, VA โ€ข Remote

$50 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML communityโ€”such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.