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Ai Model Jobs in Virginia (NOW HIRING)

ECS

AI Model Developer

Ashburn, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Developer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer ...

ECS

AI Model Developer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Developer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer ...

VTG

AI System Engineer (SETA)

Mclean, VA

$170K - $250K/yr

Evaluate frontier AI models, emerging AI capabilities, and evolving technology trends. * Conduct technical research, analysis, and assessments to support strategic decision-making. * Support systems ...

VTG

AI System Engineer (SETA)

Mclean, VA · On-site

$170K - $250K/yr

Evaluate frontier AI models, emerging AI capabilities, and evolving technology trends. * Conduct technical research, analysis, and assessments to support strategic decision-making. * Support systems ...

VTG

AI System Engineer (SETA)

Mclean, VA · On-site

$170K - $250K/yr

Evaluate frontier AI models, emerging AI capabilities, and evolving technology trends. * Conduct technical research, analysis, and assessments to support strategic decision-making. * Support systems ...

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation. ESSENTIAL FUNCTIONS 60% of job: Development

micro1 AI

AI Trainer - Microbiology Expert

Hampton, VA · Remote

$70 - $90/hr

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. Key Responsibilities:

micro1 AI

AI Trainer - Microbiology Expert

Richmond, VA · Remote

$70 - $90/hr

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. Key Responsibilities:

micro1 AI

AI Trainer - Microbiology Expert

Chesapeake, VA · Remote

$70 - $90/hr

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. Key Responsibilities:

micro1 AI

AI Trainer - Microbiology Expert

Suffolk, VA · Remote

$70 - $90/hr

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. Key Responsibilities:

micro1 AI

AI Trainer - Microbiology Expert

Alexandria, VA · Remote

$70 - $90/hr

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. Key Responsibilities:

micro1 AI

AI Trainer - Microbiology Expert

Norfolk, VA · Remote

$70 - $90/hr

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. Key Responsibilities:

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All JobsAi Model JobsAi Model Jobs in Virginia

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

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

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

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

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

What cities in Virginia are hiring for Ai Model jobs?

Cities in Virginia with the most Ai Model job openings:

Ai Model jobs near you
Infographic showing various Ai Model job openings in Virginia as of August 2026, with employment types broken down into 62% Full Time, 24% Part Time, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

AI Model Developer

ECS

Ashburn, VA • On-site

$125K - $150K/yr

Full-time

Re-posted 20 days ago

Job description

Everforth ECS is seeking an AI Model Developer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.
Please Note: This position is contingent upon contract award.
Everforth ECS is seeking a highly skilled AI Model Developerwith expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.
Key Responsibilities:
  • AI/ML Model Development
    • Design, build, fine tune and train machine learning and deep learning models using Python.
    • Perform data preprocessing, feature engineering, and model optimization.
    • Evaluate models using domain appropriate metrics and improve performance iteratively.
    • Deploy custom models to production environments (cloud/on premises) using MLOps best practices.
  • Full-Stack Development
    • Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models.
    • Build responsive and user-friendly front-end interfaces for AI-powered applications.
    • Integrate AI models into web and mobile applications.
    • Ensure scalability, security, and performance of deployed solutions.
  • Collaboration & Documentation
    • Work closely with data scientists, developers, frontend developers, and product managers.
    • Document model architectures, APIs, and deployment processes.
    • Participate in code reviews and maintain high coding standards.

Salary Range: $125,000-150,000
General Description of Benefits
  • Bachelor's degree in Computer Science, AI, Data Science, or related field.
  • US Citizen; Must be able to obtain and maintain a Public Trust determination.
  • 3+ years of experience in AI/ML development and full-stack application building.
  • Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
  • Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
  • Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
  • DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
  • Version Control: Proficiency with GitHub workflows.
  • Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms.
  • Knowledge of data visualization tools (Matplotlib, Plotly, D3.js).
  • Familiarity with microservices architecture.
  • Prior experience in AI product development from concept to deployment.

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