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Remote Ai Support Jobs in Virginia (NOW HIRING)

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · On-site +1

$50 - $80/hr

We support the U.S. Federal/State/Local Government and Commercial clients within the continental ... Materials (AI-BOMs), NSA AI Security Guidelines. Location: Remote, with occasional travel to ...

Ntiva

AI Delivery & Support Specialist

Mclean, VA · Remote

The AI Delivery and Support Specialist owns the full lifecycle of Ntiva's AI solutions for clients ... This is a remote position; however, team members should be willing and able to travel if the need ...

Ntiva

AI Delivery & Support Specialist

Mclean, VA · On-site +1

The AI Delivery and Support Specialist owns the full lifecycle of Ntiva's AI solutions for clients ... This is a remote position; however, team members should be willing and able to travel if the need ...

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Remote Ai Support information

What is remote AI support?

A Remote AI Support job involves assisting customers, clients, or internal teams with issues related to artificial intelligence products or services, all while working remotely. These professionals may help troubleshoot AI tools, answer technical questions, provide product guidance, and escalate complex issues to specialized teams. They often use chat, email, or video calls to communicate, and may work for technology companies, SaaS providers, or startups. Strong communication skills, technical literacy, and familiarity with AI concepts are typically required.

What are the key skills and qualifications needed to thrive as remote AI support?

To thrive as a Remote AI Support specialist, you need a solid understanding of AI concepts, troubleshooting skills, and experience with customer support, often supported by a relevant degree or technical certification. Familiarity with ticketing systems, remote desktop tools, knowledge bases, and platforms like Slack or Zendesk is typically required. Strong communication, problem-solving abilities, and patience help you stand out when assisting diverse clients virtually. These skills are crucial for effectively resolving technical issues, ensuring customer satisfaction, and maintaining smooth operations in remote environments.

What are some common challenges faced by remote AI support professionals, and how can they be effectively managed?

Remote AI Support professionals often encounter challenges such as troubleshooting complex AI systems without direct physical access, managing effective communication with clients or team members across different time zones, and staying updated with rapidly evolving AI technologies. To manage these challenges, it's important to maintain clear documentation, leverage remote collaboration tools, and prioritize continuous learning. Establishing regular check-ins with the team and creating a structured workflow can also help ensure smooth support operations and timely issue resolution.

What is the difference between Remote Ai Support vs Remote Customer Support?

AspectRemote Ai SupportRemote Customer Support
Required CredentialsTechnical knowledge, AI tools familiarityCommunication skills, customer service experience
Work EnvironmentAI platforms, software toolsCustomer interaction channels (phone, chat, email)
Industry UsageTech, AI development companiesRetail, service industries, e-commerce
Common Search IntentTechnical AI support rolesCustomer service jobs

Remote Ai Support involves assisting users with AI tools and platforms, requiring technical skills and familiarity with AI technologies. In contrast, Remote Customer Support focuses on resolving customer inquiries through communication channels, emphasizing interpersonal skills. While both roles are remote and industry-related, they serve different functions within organizations.

What remote jobs can I do with AI?

Remote AI support jobs include roles such as AI customer support, chatbot trainers, data annotators, and AI content moderators. These positions often require skills in machine learning tools, data labeling, and communication, and can be performed independently from home with flexible schedules.

What are the most commonly searched types of Ai Support jobs in Virginia?

The most popular types of Ai Support jobs in Virginia are:

What are popular job titles related to Remote Ai Support jobs in Virginia?

For Remote Ai Support jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Ai Support jobs in Virginia look for?

The top searched job categories for Remote Ai Support jobs in Virginia are:

What cities in Virginia are hiring for Remote Ai Support jobs?

Cities in Virginia with the most Remote Ai Support job openings:

Remote Ai Support jobs near you
Infographic showing various Remote Ai Support job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

About Knexus
Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!
Position Overview
During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.
Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.
Key Responsibilities
  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.
Qualifications and Experience
  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.
  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA

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