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Ai Model Trainer Jobs in Virginia (NOW HIRING)

AI/ML Engineer

Chantilly, VA · On-site

$180 - $240/hr

Assess technical approaches for GPU cluster architecture, model training, and inference at scale * Evaluate contractor's model-agnostic approach and partnerships with AI Titans * Support evaluation ...

AI/ML Engineer

Chantilly, VA · Hybrid

$200K - $240K/yr

Assess technical approaches for GPU cluster architecture, model training, and inference at scale * Evaluate contractor's model-agnostic approach and partnerships with AI Titans * Support evaluation ...

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Assess technical approaches for GPU cluster architecture, model training, and inference at scale * Evaluate contractor's model-agnostic approach and partnerships with AI Titans * Support evaluation ...

AI/ML SME

Arlington, VA · On-site

$190K - $235K/yr

Document model assumptions, data inputs, and training parameters for reproducibility. * Conduct ... Prepare AI business case summaries that explain model purposes, value proposition, expected ...

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Assess technical approaches for GPU cluster architecture, model training, and inference at scale * Evaluate contractor's model-agnostic approach and partnerships with AI Titans * Support evaluation ...

Experience with automating AI model training, deployment pipelines, and optimization processes * Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement ...

AI Engineer

VA · On-site

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes * Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement ...

AI/ML SME

Arlington, VA · On-site

$190K - $235K/yr

Document model assumptions, data inputs, and training parameters for reproducibility. * Conduct ... Prepare AI business case summaries that explain model purposes, value proposition, expected ...

AI/ML SME

Arlington, VA · On-site

$190K - $235K/yr

Document model assumptions, data inputs, and training parameters for reproducibility. * Conduct ... Prepare AI business case summaries that explain model purposes, value proposition, expected ...

AI/ML SME

Arlington, VA

$190K - $235K/yr

Document model assumptions, data inputs, and training parameters for reproducibility. * Conduct ... Prepare AI business case summaries that explain model purposes, value proposition, expected ...

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

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

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

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Ai Model Trainer information

See Virginia salary details

$11

$25

$43

How much do ai model trainer jobs pay per hour?

As of Aug 31, 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 cities in Virginia are hiring for Ai Model Trainer jobs?

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

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

Chantilly, VA • On-site


Saic
IT Services • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 226 rated it services

People enjoy working here

Good employer

Recommended by students


$180 - $240/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Description

SAIC is seeking an experienced AI/ML Engineer to serve as a senior technical advisor, ensuring infrastructure supports frontier AI models, mission use cases, and rapid R&D experimentation. Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing enterprise solutions.

Responsibilities include but are not limited to:

  • Provide expert guidance on AI/ML infrastructure requirements for models, including, for example frontier and foundational models
  • Assess technical approaches for GPU cluster architecture, model training, and inference at scale
  • Evaluate contractor’s model-agnostic approach and partnerships with AI Titans
  • Support evaluation of AI/ML use cases
  • Advise on data fusion architectures across datasets
  • Assess AI model deployment, orchestration, and Machine Learning Ops (MLOps) requirements for rapid experimentation
  • Guide R&D experimentation framework and capability demonstration planning
  • Support experimentation support contract coordination with use case development
  • Evaluate hardware benchmark performance against requirements
  • Support onboarding and sustainment model development
  • Support briefings to senior leadership on AI technical approaches, risks, and use case readiness

Qualifications

Required Experience:

  • Active TS SCI w/Poly
  • Bachelor’s degree and 14 years or more experience; Master’s degree and 12 years or more experience; PhD and 9 years or more experience
  • 10+ years in data management and processing experience with strong emphasis in AI/ML
  • Deep expertise in AI/ML model training and inference infrastructure
  • Frontier AI models (large language models, multimodal models, etc.) and model-agnostic architectures
  • GPU cluster architecture and high-performance AI computing
  • MLOps, model deployment, and orchestration platforms
  • Data fusion
  • AI/ML frameworks
  • COTS AI infrastructure and enterprise solution integration
  • Partnerships with commercial AI providers and technology transfer
  • Technical leadership and senior-level communication
  • Rapid experimentation and use case development methodologies

Target salary range: $180,000 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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