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Remote Ai Developer Jobs in Virginia (NOW HIRING)

Think Consulting

Sr Data & AI Engineer

Virginia Beach, VA · On-site +1

$101.20K - $121.60K/yr

Flexible / Hybrid / Remote (as applicable) About the Role We are seeking a highly experienced Senior Data & AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. This ...

IntelliTech

Senior Data AI Engineer

Alexandria, VA · On-site +1

$103.20K - $140.20K/yr

Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Senior Data / AI Engineer to support a ...

Maximus

AI/ML Software Developer

Norfolk, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Chesapeake, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Williamsburg, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Richmond, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Lynchburg, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Hampton, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Annandale, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

Maximus

AI/ML Software Developer

Virginia Beach, VA · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... with programming languages commonly used in AI/ML development, such as Python, and supporting ...

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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 May 30, 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 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 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 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 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 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 May 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $128,239 per year, or $61.7 per hour.
Semantic Data and AI Engineer

Semantic Data and AI Engineer

Enterprise Knowledge

Arlington, VA • On-site, Remote

$131.90K - $158.40K/yr

Full-time

Posted 11 days ago

Job description

Enterprise Knowledge (EK) is hiring for a full-time Semantic Data and AI Engineer to join our growing Knowledge and Data Services Sector. In this role, you will be responsible for designing and deploying cutting-edge data discovery, integration, and governance solutions for a wide range of organizations around the world. The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. This individual will be able to quickly learn new technologies and apply them to business challenges at large corporations, organizations, and federal agencies. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges with a strategic mindset to advise clients on enterprise AI transformations.
As an EK Semantic Data and AI Engineer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
Responsibilities
  • Work with data subject matter experts and business users to effectively understand and model their domain of knowledge
  • Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets
  • Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation
  • Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration
  • Support a variety of business intelligence projects using AI-based solutions
  • Analyze complex datasets and communicate insights to both technical and non-technical stakeholders
  • Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages
  • Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures
  • Work with internal and external teams to contextualize data engineering work into larger project context

Requirements
As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.
Our office is located in Arlington, VA, and operates on a hybrid model. While local candidates are preferred, we are also able to hire remote candidates residing in the following states: CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, and WA.
Required Skills and Qualifications:
  • Bachelor's degree in math, statistics, economics, data science, computer science, or a related field
  • 5+ years experience working on data analysis project(s) designing reports and designing data analysis approaches and visualizations in a production setting
  • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products
  • Experience applying machine learning methods and statistical analysis to business use cases
  • Proficiency in programming languages such as Python, R, or similar for data analysis and modeling
  • Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting
  • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models
  • Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches)
  • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift
  • Familiarity with data modeling, database architecture, and data integration, aggregation and normalization across heterogeneous sources
  • Interest in developing as a consultant and taking on additional responsibilities for delivering and growing work
Preferred Skills and Qualifications:
  • Experience designing and working with relational databases
  • Experience designing and working with graph databases and SPARQL
  • Experience with AI governance practices covering model monitoring, evaluation frameworks, and access entitlements
  • Comfortable working with containerized environments; Docker proficiency expected, Kubernetes familiarity a plus
  • Experience with cloud platforms (AWS, Azure, or GCP) for deploying and operating AI and data solutions
  • Exposure to ontology or taxonomy design, and familiarity with taxonomy/ontology management tools (Progress Semaphore, PoolParty, Synaptica, Mondeca, etc.)
  • Experience designing and planning data science projects to meet business requirements
  • Experience implementing agentic AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, BAML, or equivalent
Salary Information:
EK considers a broad range of factors in considering employee salary including a candidate's skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $150,000 to $210,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate's qualifications.
Data Privacy Notice:
Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.
We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.
You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.
By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com

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