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Generative Ai Testing Jobs in Virginia (NOW HIRING)

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks * Monitor model performance, conduct testing, and iterate on improvements * Document technical ...

New

D. Kent Consulting Group, LLC

AI Engineer

Springfield, VA · On-site

$100/hr

Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks * Monitor model performance, conduct testing, and iterate on improvements * Document technical ...

New

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Steampunk

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

... generative AI models (LLMs preferred). * Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems. * Proficiency in Python and relevant ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Herndon, VA

$107K - $147K/yr

... generative components. * Explore and validate new approaches for retrieval, indexing, and ... Develop validation and testing frameworks ensuring compliance with safety and reliability standards.

New

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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.
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Generative Ai Testing jobs near you
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.

AI Engineer

D. Kent Consulting Group, LLC

Springfield, VA • On-site

$100/hr

Part-time

Posted 6 days ago

New

Job description

About the Role: 
 
Make an Impact in Federal AI — Without a Full-Time Commitment
DKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. This role is ideal for an experienced AI professional who wants to apply deep technical and federal market expertise in a flexible, half-time role with an expected commitment of 40 hours or less per month. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments-- we would like to hear from you. 
 Responsibilities: 
  • Design, develop, and deploy machine learning models and AI-powered applications
  • Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
  • Build and maintain data pipelines, model training workflows, and inference systems
  • Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
  • Monitor model performance, conduct testing, and iterate on improvements
  • Document technical architectures, methodologies, and best practices
  • Stay current with AI/ML research and translate advancements into practical applications
Requirements:
  •  Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
  • Proven experience in machine learning, deep learning, or AI engineering
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face)
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders
Preferred
  • Master’s degree in a related field
  • Federal AI strategy, digital transformation, or data modernization experience
  • Familiarity with Responsible AI and AI governance
  • Consulting experience supporting government clients
Why This Role
  • Flexible part-time commitment
  • High-impact federal mission work
  • Opportunity to apply senior AI expertise in a strategic advisory capacity
  • Work with a women-owned small business supporting complex government environments
 Apply Today
Please submit your resume and a brief summary of your relevant federal AI experience. 
 
About Us:
DKC Group, is a Maryland based consulting firm dedicated to delivering innovative, technology-driven solutions to our clients. We pride ourselves on a culture of collaboration, continuous learning, and excellence that keeps both our clients and our team members coming back. At D. Kent Consulting Group, you'll find a dynamic environment where your ideas are valued, and your career can truly thrive.