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Ai Model Training Jobs in Springfield, VA (NOW HIRING)

Peraton

AI Engineering Support SME

Washington, DC · On-site

$135K - $216K/yr

Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities. * Develop dashboards, reporting solutions, predictive analytics capabilities ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Build andmaintainAI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Design, develop, and integrate modern AI model capabilities into ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities. * Develop dashboards, reporting solutions, predictive analytics capabilities ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Build andmaintainAI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Design, develop, and integrate modern AI model capabilities into ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities. * Develop dashboards, reporting solutions, predictive analytics capabilities ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation and redaction standards to ensure consistency. * Conduct quality checks to ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

B&A

Senior AI Systems Architect

Ashburn, VA

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

UNISSANT

Senior AI Systems Architect

Ashburn, VA

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

Koniag

AI Security Specialist/SME

Washington, DC · On-site

... of AI model training, deployment, and output * Support the integration of AI security considerations into SBA's existing cybersecurity frameworks, risk management processes, and security ...

kgs

AI Security Specialist/SME

Washington, DC

... of AI model training, deployment, and output * Support the integration of AI security considerations into SBA's existing cybersecurity frameworks, risk management processes, and security ...

Koniag, Inc.

AI Security Specialist/SME

Washington, DC · On-site

$190K - $212K/yr

... of AI model training, deployment, and output * Support the integration of AI security considerations into SBA's existing cybersecurity frameworks, risk management processes, and security ...

kgs

AI Security Specialist/SME

Washington, DC · On-site

... of AI model training, deployment, and output * Support the integration of AI security considerations into SBA's existing cybersecurity frameworks, risk management processes, and security ...

ManTech

Model Operations Engineer

Ashburn, VA · Hybrid

$107K - $179K/yr

Lead the integration and deployment of trained AI/ML models into production environments (e.g., cloud, edge devices) using ML Ops best practices. * Develop and optimize model training & inference ...

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Ai Model Training information

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How much do ai model training jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai model training in Springfield, VA is $32.76, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $40.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What are popular job titles related to Ai Model Training jobs in Springfield, VA? For Ai Model Training jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Ai Model Training jobs in Springfield, VA look for? The top searched job categories for Ai Model Training jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Ai Model Training jobs? Cities near Springfield, VA with the most Ai Model Training job openings:
Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $68,151 per year, or $32.8 per hour.

AI Engineering Support SME

Peraton

Washington, DC • On-site

$135K - $216K/yr

Full-time

Re-posted 13 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

50th of 223 rated it services

Job description

Responsibilities
Peraton is seeking experienced AI professionals to support the modernization and expansion of enterprise Artificial Intelligence (AI) capabilities for a large federal customer. This effort will support strategic AI initiatives focused on automation, analytics, generative AI, intelligent agents, software engineering, governance, and enterprise modernization efforts.
The selected candidate(s) will support the design, development, implementation, integration, governance, optimization, and sustainment of AI-enabled solutions across multiple business and technical domains. These efforts will support enterprise modernization objectives while maintaining responsible AI practices, transparency, accountability, operational sustainability, and mission alignment.
Key Responsibilities
  • Support enterprise AI modernization initiatives aligned with customer operational and business objectives.
  • Design, develop, and implement AI-enabled solutions using machine learning, large language models (LLMs), generative AI, and intelligent automation technologies.
  • Develop autonomous and semi-autonomous AI agents capable of reasoning, planning, and executing multi-step workflows.
  • Build agentic AI architectures utilizing frameworks such as LangChain, AutoGen, and similar orchestration technologies.
  • Develop APIs, integrations, vector database solutions, and scalable AI services to support enterprise AI operations.
  • Implement MLOps practices, CI/CD pipelines, containerization technologies, and cloud-based deployment strategies.
  • Integrate AI capabilities into enterprise applications using APIs, microservices, and scalable cloud architectures.
  • Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities.
  • Develop dashboards, reporting solutions, predictive analytics capabilities, and executive-level visualizations.
  • Support AI governance, security, compliance, ethical AI, transparency, and risk mitigation initiatives.
  • Collaborate with executive leadership, CIO organizations, technical teams, and business stakeholders to support AI adoption and modernization efforts.
  • Provide technical documentation, workshops, mentoring, training, and knowledge transfer activities.
  • Support ongoing operational monitoring, maintenance, retraining, optimization, and lifecycle management of deployed AI capabilities.
  • Identify opportunities for AI-enabled automation, operational efficiencies, productivity improvements, and enterprise modernization initiatives.
  • Translate technical AI concepts into business-focused recommendations and operational outcomes.

Qualifications
Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Physics, Artificial Intelligence, Information Technology, or related technical field with 16+ years experience or Master's degree with 14+ years related experience; additional experience may be considered in lieu of degree
  • U.S. Citizenship
  • Must have the ability to obtain and maintain a Public Trust clearance.
  • Candidates must have resided in the United States for the past five (5) years with no more than 6 months outside travel of the U.S. during this time frame.
  • Experience supporting enterprise AI, machine learning, automation, analytics, or software engineering initiatives.
  • Knowledge of generative AI, LLMs, AI orchestration frameworks, intelligent automation, and AI-enabled software development.
  • Experience with AI/ML frameworks and tools such as PyTorch, TensorFlow, LangChain, AutoGen, or similar technologies.
  • Experience with APIs, microservices, cloud technologies, CI/CD pipelines, and containerization technologies such as Kubernetes.
  • Strong understanding of AI governance, cybersecurity, data security, compliance, and ethical AI principles.
  • Ability to analyze complex technical challenges and provide scalable AI solutions.

Preferred Qualifications
  • Experience supporting federal government or enterprise modernization programs.
  • Experience with predictive analytics, data engineering, visualization, and dashboard development.
  • Experience supporting enterprise AI operational sustainment and lifecycle management activities.
  • Familiarity with vector databases, intelligent agents, and advanced AI orchestration capabilities.
  • Experience supporting AI strategic advisory or roadmap development initiatives.
  • Candidates with strong mathematical or computational backgrounds, including Mathematicians, are highly desired.
  • Relevant AI, cloud, cybersecurity, or engineering certifications are a plus.

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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