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Ai Model Trainer Jobs in Virginia (NOW HIRING)

540

AI/ML Engineer

Arlington, VA · On-site

Develop automated pipelines for model training, validation, testing, deployment, and monitoring * Create reusable frameworks, libraries, and shared components that accelerate AI/ML development

540

AI/ML Engineer

Arlington, VA

Develop automated pipelines for model training, validation, testing, deployment, and monitoring * Create reusable frameworks, libraries, and shared components that accelerate AI/ML development

540

AI/ML Engineer

Arlington, VA · On-site

Develop automated pipelines for model training, validation, testing, deployment, and monitoring * Create reusable frameworks, libraries, and shared components that accelerate AI/ML development

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

... model training, inference, monitoring, retraining, and operational management.Implement secure Gen-AI guardrails addressing:Hallucination mitigationPrompt injection preventionPrompt leakage ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Architect automated pipelines for model training, validation, testing, deployment, and monitoring * Develop reusable frameworks, libraries, and shared components that accelerate AI/ML delivery

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Architect automated pipelines for model training, validation, testing, deployment, and monitoring * Develop reusable frameworks, libraries, and shared components that accelerate AI/ML delivery

Doist

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

Architect automated pipelines for model training, validation, testing, deployment, and monitoring * Develop reusable frameworks, libraries, and shared components that accelerate AI/ML delivery

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Architect automated pipelines for model training, validation, testing, deployment, and monitoring * Develop reusable frameworks, libraries, and shared components that accelerate AI/ML delivery

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Ai Model Trainer information

See Virginia salary details

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How much do ai model trainer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai model trainer in Virginia is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $29.57 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

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

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

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

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

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

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

What cities in Virginia are hiring for Ai Model Trainer jobs?

Cities in Virginia with the most Ai Model Trainer job openings:

Ai Model Trainer jobs near you
Infographic showing various Ai Model Trainer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $53,009 per year, or $25.5 per hour.

AI/ML Engineer

540

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and infrastructure that enable teams to develop, deploy, monitor, and scale models supporting complex defense missions.
Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission stakeholders, you will build reusable ML capabilities and automated pipelines using modern software engineering and MLOps practices. The ideal candidate enjoys solving complex engineering challenges and building secure, reliable AI/ML systems that directly support mission outcomes.
Location: Arlington, VA
Citizenship & Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance
Education Requirement: Bachelor's degree in Computer Science, Engineering, or a related technical field preferred; equivalent combinations of education and relevant experience will be considered
540 Internal Thrive Level: Software Engineer II or III
WHY 540?
540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation - we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.
HOW YOU'LL DRIVE IMPACT
  • Design, build, and maintain AI/ML services, products, and lifecycle capabilities supporting WDP
  • Develop automated pipelines for model training, validation, testing, deployment, and monitoring
  • Create reusable frameworks, libraries, and shared components that accelerate AI/ML development
  • Build model-serving capabilities supporting secure, scalable, and reliable batch or real-time inference
  • Implement MLOps practices using CI/CD, infrastructure as code, automated testing, and source control
  • Develop model monitoring, performance tracking, drift detection, and operational health capabilities
  • Support model explainability, reproducibility, governance, and lifecycle traceability
  • Manage model versions, artifacts, datasets, and feature-engineering workflows
  • Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency
  • Collaborate with data engineers and data scientists to prepare data and operationalize models
  • Partner with cybersecurity teams to implement security, access-control, auditing, and governance requirements
  • Troubleshoot issues spanning models, applications, data pipelines, infrastructure, and production services
  • Document AI/ML architectures, engineering processes, and operational procedures

REQUIRED SKILLS & EXPERIENCE
  • 4+ years of relevant AI/ML engineering, software engineering, or data science experience
  • Experience developing and deploying production-grade AI or machine learning systems
  • Proficiency with Python and commonly used AI/ML frameworks
  • Experience building automated model training, validation, deployment, and monitoring pipelines
  • Experience with MLOps platforms, practices, and tools
  • Experience deploying models in cloud-based or containerized environments
  • Experience developing APIs, microservices, or model-serving capabilities for batch or real-time inference
  • Understanding of model evaluation, performance monitoring, drift detection, explainability, and governance
  • Experience with Docker, Kubernetes, or similar containerization and orchestration technologies
  • Experience with CI/CD, infrastructure as code, automated testing, and source control
  • Experience working within AWS, Azure, or Google Cloud
  • Familiarity with data pipelines, feature engineering, distributed data processing, and data versioning
  • Ability to troubleshoot issues across applications, infrastructure, data, and machine learning systems
  • Strong communication and collaboration skills, including the ability to document and explain technical decisions

NICE TO HAVE
  • Experience supporting DoW, federal, Advana, or other enterprise AI/ML and data platforms
  • Experience with AWS SageMaker or comparable cloud AI/ML platforms
  • Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Ray, Feast, or similar tools
  • Experience building AI/ML solutions in secure, regulated, classified, or mission-critical environments
  • Familiarity with large language models, generative AI, retrieval-augmented generation, or foundation-model operations
  • Experience implementing responsible AI, model-risk-management, or AI-governance practices
  • Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as CCSP, CFR, FITSP-M, GSEC, Security+, or SSCP

BENEFITS & PERKS
  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)
540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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