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Remote Generative Ai Jobs in Virginia (NOW HIRING)

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

... generative AI * Direct impact on internal efficiency, knowledge accessibility, and business operations * Small team environment with autonomy, flexibility, and ownership Work Environment: * Remote

AI/ML Engineer, Mid

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245169 Location: Chantilly,VA,US Share job via: Share AI/ML Engineer ... Experience working with LLMs, generative AI systems, or agentic frameworks * Experience with Python ...

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Remote Generative Ai information

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

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

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

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

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

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

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

Infographic showing various Remote Generative Ai job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Data & AI Engineer

Sciolex Corporation

Chantilly, VA • Remote

$118K - $142K/yr

Full-time

Re-posted 27 days ago


Job description

What do you get when you bring together a team of bright individuals and place them into an environment where “work” means making a difference in the lives of people across the globe?

You get Sciolex Corporation, a fast-growing defense contractor focused on providing the U.S. Government a level of service that surpasses the epitome of excellence.  Our core services include systems engineering technical advice, technical support, and administrative assistance.  From our humble beginning as a small Service Disabled, Small Business in Chantilly, VA, Sciolex Corporation is now the home for over 1,000 employees across the U.S.

Over the past 20 years, Sciolex Corporation has constructed an environment that celebrates diversity and encourages a positive work/life balance, all while supporting government missions that our employees are proud to be a part of.  When you work for Sciolex Corporation, you are working for a stable company that values you and is committed to ensuring you receive the utmost employee care.


We are a small government contractor seeking a motivated and adaptable engineer to help evolve how our organization works with data, internal systems, and emerging AI technologies.This role is intentionally broad and hands-on. You will work across enterprise data, internal applications, automation, and modern AI-driven solutions to improve how information is accessed, understood, and used throughout the business.

We are looking for a self-starter who enjoys solving problems, building practical solutions, and operating in an open-ended environment. The ideal candidate is comfortable working with both structured data (enterprise databases) and unstructured information (documents, SharePoint content, internal knowledge), and is excited about applying generative AI in practical business settings.

This is not a narrowly defined reporting or analytics role. While supporting existing data systems is part of the position, the broader objective is to help shape how the company leverages modern technology to improve internal operations and knowledge accessibility.

Core Responsibilities:

  • Design, manage, and optimize enterprise databases (Microsoft SQL Server)
  • Build internal tools, workflows, automations, and lightweight applications to improve business operations
  • Design and prototype AI-enabled solutions for internal knowledge access, search, summarization, and operational efficiency
  • Enable intelligent retrieval and use of internal business information across structured and unstructured sources
  • Support and improve internal reporting and data solutions as business needs evolve
  • Troubleshoot and enhance existing systems and technical processes
  • Collaborate with business stakeholders to understand problems and translate needs into practical technical solutions

Desired Focus Areas:

  • Generative AI and internal business applications
  • Intelligent search, retrieval, and summarization of internal documents and data
  • Integration of structured and unstructured information
  • Workflow automation and operational efficiency improvements
  • Internal tooling and knowledge systems

Required Qualifications:

  • Strong problem-solving ability and analytical thinking
  • Experience with software development (Python, C#, APIs, automation, or similar)
  • Strong SQL and database fundamentals (SQL Server, relational design, querying)
  • Experience working within a Microsoft-based environment
  • Ability to work independently, take ownership, and navigate open-ended technical problems
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Demonstrated interest in AI, automation, or intelligent systems

Preferred Qualifications:

  • Experience experimenting with or building solutions using generative AI or LLMs
  • Familiarity with document-based search, retrieval systems, or knowledge management concepts
  • Experience building internal tools or automating business processes
  • Familiarity working with unstructured information (documents, file systems, SharePoint content)
  • Exposure to cloud platforms or Microsoft Azure

Why This Role:

  • Opportunity to shape technical direction in a highly visible role
  • Work on both established systems and emerging technologies, including generative AI
  • Direct impact on internal efficiency, knowledge accessibility, and business operations
  • Small team environment with autonomy, flexibility, and ownership

Work Environment:

  • Remote
  • Must be a U.S. citizen and physically located in the United States
  • Small, collaborative team
  • Hands-on role with flexibility and autonomy

Sciolex logo

About Sciolex

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2006

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