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Generative Ai Testing Jobs in Virginia (NOW HIRING)

Lead the adoption of generative AI technologies (including large language models and multimodal AI ... rapid testing, and learning, with a relentless focus on delivering customer value * Establish ...

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

Lead the adoption of generative AI technologies (including large language models and multimodal AI ... rapid testing, and learning, with a relentless focus on delivering customer value * Establish ...

Lead the adoption of generative AI technologies (including large language models and multimodal AI ... rapid testing, and learning, with a relentless focus on delivering customer value * Establish ...

Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and ... Strong experience developing Python applications from scratch, including testing and deployment

Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and ... Strong experience developing Python applications from scratch, including testing and deployment

Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and ... Strong experience developing Python applications from scratch, including testing and deployment

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal ... Lead all data experiments under the iterative testing framework. Engage with stakeholders to ...

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal ... Lead all data experiments under the iterative testing framework. Engage with stakeholders to ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Virginia? For Generative Ai Testing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Virginia look for? The top searched job categories for Generative Ai Testing jobs in Virginia are:
What cities in Virginia are hiring for Generative Ai Testing jobs? Cities in Virginia with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Virginia as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.
Developer - Generative AI Platform and Mission Support with Security Clearance

Developer - Generative AI Platform and Mission Support with Security Clearance

Peraton

Herndon, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services


Job description

About Peraton 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 solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. About The Role Peraton Labs is seeking a Developer to provide customer development support while also contributing to a broader Generative AI Platform and AI Program Management Office (PMO) initiatives. This role is focused on hands-on software engineering execution - building features, fixing defects, writing tests, and helping maintain a production platform that serves critical customer mission needs. This position provides an excellent opportunity for a junior-to-mid-level engineer to grow their skills in a meaningful, mission-driven environment. You will work alongside senior engineers and technical leads, contributing directly to production software while gaining exposure to AI-enabled platform development, cloud-native engineering practices, and cross-functional product delivery. The ideal candidate is a motivated developer with solid programming fundamentals, a willingness to learn, and the ability to deliver reliable, well-tested code in a collaborative team environment. Key Responsibilities * Develop, test, and maintain software components supporting a generative AI platform under the guidance of senior engineers and technical leads
* Build and maintain backend services, API endpoints, data processing logic, and integration components as directed by project requirements
* Contribute to front-end development tasks as needed, supporting user-facing features and interface improvements
* Write clean, well-documented, and testable code that meets team quality standards and engineering best practices
* Participate in code reviews, providing and receiving constructive feedback to improve code quality and personal development
* Support bug triage, defect resolution, and technical troubleshooting across the application stack
* Contribute to broader Generative AI Platform and AI PMO development tasks, including shared services, tooling, and cross-platform integration work
* Assist with automated testing, CI/CD pipeline maintenance, and deployment support activities
* Collaborate with product owners, analysts, and fellow engineers to understand requirements and deliver effective technical solutions
* Help maintain technical documentation, including code comments, API documentation, and system behavior descriptions
* Participate in Agile ceremonies, sprint planning, and team collaboration activities
* Continuously learn and grow technical skills, including exposure to AI/ML integration, cloud-native development, and modern engineering practices
Qualifications Required: * 5+ years with a Bachelor's degree, 3+ years with a Master's degree, or a Ph.D.
* Minimum of a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field
* Solid proficiency in Python with demonstrated ability to write production-quality code
* Familiarity with web development fundamentals, including REST APIs, HTTP, and client-server architecture
* Experience with version control systems (Git) and collaborative development workflows
* Basic understanding of relational databases and SQL
* Familiarity with testing practices, including unit testing and basic integration testing
* Strong problem-solving skills and attention to detail
* Ability to work collaboratively in a team environment, accept direction, and communicate progress effectively
* Strong written and verbal communication skills
* US Citizenship with the ability to obtain and maintain a Public Trust suitabilityDesired: * Experience with JavaScript/TypeScript and front-end frameworks (React preferred)
* Hands-on experience with Rust is a plus
* Familiarity with cloud platforms (AWS preferred), containerization (Docker), or modern deployment practices
* Exposure to CI/CD pipelines, automated testing frameworks (pytest or similar), or DevOps practices
* Interest in or exposure to AI/ML concepts, LLM-enabled applications, or agentic AI systems
* Experience with FastAPI, Flask, Django, or other Python web frameworks
* Familiarity with PostgreSQL or other relational database systems beyond basic SQL
* Experience working in Agile or Scrum development environments
* Exposure to government, aviation, or other mission-driven technical environments
* Demonstrated initiative in learning new technologies, contributing to open-source projects, or pursuing relevant certifications
* Basic familiarity with data processing, ETL concepts, or analytical workflows
* 2-5 years of relevant experience in software development, application engineering, or related technical roles
Details Target Salary Range: $104,000 - $166,000. 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. Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits. Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. 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