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Remote H1B Computer Science Jobs in Virginia (NOW HIRING)

z/OS Mainframe Developer (Remote)

Alexandria, VA · On-site +1

$52.50 - $67.50/hr

This is going to be a 100% remote position. * SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL ... A degree from an accredited College/University in Software Engineering, Computer Science, or ...

z/OS Mainframe Developer (Remote)

Alexandria, VA · Remote

$52.50 - $67.50/hr

This is going to be a 100% remote position. * SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL ... A degree from an accredited College/University in Software Engineering, Computer Science, or ...

SOFTWARE DEVELOPER

Dahlgren, VA · On-site +1

$101K - $156K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Experience as a professional scientist in computer programming principles such as object-oriented ...

Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Senior Director - Cyber Security & Innovation

VA · On-site +1

$111K - $150K/yr

Job-Specific Minimum Requirements: - Bachelor's degree in engineering, Computer Science, or related ... Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

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Remote H1B Computer Science information

What is a Remote H1B Computer Science job?

A Remote H1B Computer Science job refers to a position in the field of computer science where the employee works remotely (often from home or another location outside the employer’s office) while being sponsored by a U.S. employer under the H1B visa program. The H1B visa allows U.S. companies to employ foreign workers in specialty occupations that require theoretical or technical expertise. In recent years, remote work has become more common for H1B holders, as long as the employer complies with Department of Labor and USCIS regulations, including updating the Labor Condition Application (LCA) if the work location changes. Remote H1B roles can include positions like software engineer, data analyst, or IT consultant.

What are the key skills and qualifications needed to thrive as a Remote H1B Computer Science professional, and why are they important?

To thrive as a Remote H1B Computer Science professional, you need a strong background in computer science fundamentals, programming languages (such as Python, Java, or C++), and often a relevant degree or equivalent experience. Familiarity with tools like Git, cloud platforms (AWS, Azure, or GCP), and development frameworks, along with knowledge of remote collaboration tools (e.g., Slack, Jira), is typically required. Excellent communication, time management, and problem-solving skills are vital for effectively collaborating across time zones and cultural backgrounds. These skills and qualities are crucial for delivering high-quality solutions, maintaining productivity, and integrating seamlessly with distributed teams.

What are some common challenges faced by Computer Science professionals working remotely on an H1B visa, and how can they be overcome?

Remote H1B Computer Science professionals often encounter challenges such as navigating time zone differences, maintaining effective communication with distributed teams, and ensuring compliance with visa-related work location requirements. To overcome these, it's crucial to establish clear communication channels, set regular check-ins with your team, and stay informed about any updates to H1B regulations regarding remote work. Utilizing collaboration tools and proactively engaging with managers can also help foster a sense of belonging and ensure that work is aligned with organizational goals.
What are popular job titles related to Remote H1B Computer Science jobs in Virginia? For Remote H1B Computer Science jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Remote H1B Computer Science jobs? Cities in Virginia with the most Remote H1B Computer Science job openings:
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Virginia Beach, VA • Remote

$50 - $90/hr

Part-time

Posted 11 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 — 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 community—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.