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Remote Ai Developer Jobs in Virginia (NOW HIRING)

Genworth Financial

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead AI Engineer POSITION LOCATION This position is available to candidates in Richmond, VA (Hybrid) or remote applicants residing in states/locations under Eastern Standard Time:

Gnw

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead AI Engineer POSITION LOCATION This position is available to candidates in Richmond, VA (Hybrid) or remote applicants residing in states/locations under Eastern Standard Time:

Axiom Path

Lead AI Engineer #3624294

Richmond, VA · On-site +1

$180K - $200K/yr

This is a full-time opportunity available to candidates in Richmond, VA on a hybrid basis or remote ... Are you an experienced ML/AI engineering professional ready to build production-grade intelligent ...

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All JobsAi Developer JobsRemote Ai Developer JobsRemote Ai Developer Jobs in Virginia

Remote Ai Developer information

See Virginia salary details

$39.7K

$128.2K

$157.1K

How much do remote ai developer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote ai developer in Virginia is $128,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $155,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Developer vs Data Scientist?

AspectRemote Ai DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, remote teams focused on AI projectsResearch firms, tech companies, analytics teams, often remote or on-site
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges Remote AI Developers face when collaborating with distributed teams, and how can they address them?

Remote AI Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication, and maintaining alignment on project goals. To address these issues, it's important to establish regular check-ins, use collaborative tools for code sharing (like GitHub) and documentation (such as Confluence), and actively participate in virtual meetings. Staying proactive about communication and documentation helps ensure smooth collaboration and keeps everyone on the same page, regardless of location.

What are the key skills and qualifications needed to thrive as a Remote AI Developer, and why are they important?

To thrive as a Remote AI Developer, you need strong programming skills (especially in Python), deep knowledge of machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set outstanding candidates apart. These competencies ensure you can build robust AI solutions independently, collaborate seamlessly with distributed teams, and adapt to rapid technological advancements.

What are Remote AI Developers?

Remote AI Developers are software professionals who design, build, and implement artificial intelligence solutions while working from locations outside of a traditional office, such as their home or a co-working space. They collaborate with teams virtually to develop machine learning models, automate processes, and create intelligent applications. Their responsibilities often include data analysis, training algorithms, and deploying AI models, all conducted using remote communication and project management tools. This role requires strong programming skills, knowledge of AI frameworks, and the ability to work independently.
What are the most commonly searched types of Ai Developer jobs in Virginia? The most popular types of Ai Developer jobs in Virginia are:
What are popular job titles related to Remote Ai Developer jobs in Virginia? For Remote Ai Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Ai Developer jobs in Virginia look for? The top searched job categories for Remote Ai Developer jobs in Virginia are:
What cities in Virginia are hiring for Remote Ai Developer jobs? Cities in Virginia with the most Remote Ai Developer job openings:
Remote Ai Developer jobs near you
Infographic showing various Remote Ai Developer job openings in Virginia as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $128,239 per year, or $61.7 per hour.
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Virginia Beach, VA • Remote

$50 - $90/hr

Part-time

Posted 14 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.

Apply