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Chatbot Tester Jobs in Virginia (NOW HIRING)

UNISSANT

Senior Software Engineer

Ashburn, VA · Remote

$125K - $165K/yr

... testing, deployment, and sustainment of full-stack AI applications. * Build user interfaces, APIs, middleware, data services, and back-end components for RAG/chatbot, document-processing, predictive ...

Unissant

Senior Software Engineer

Ashburn, VA · On-site

$125K - $165K/yr

... testing, deployment, and sustainment of full-stack AI applications. * Build user interfaces, APIs, middleware, data services, and back-end components for RAG/chatbot, document-processing, predictive ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

$125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the technical design, development, configuration, testing support, and release of website ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the technical design, development, configuration, testing support, and release of website ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site

$125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the technical design, development, configuration, testing support, and release of website ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

$125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the technical design, development, configuration, testing support, and release of website ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

Halvik

AI/ML Subject Matter Expert

Vienna, VA · On-site

$195K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or ... Project work in deep learning, transformers, computer vision, NLP, or chatbot development

RIVA Solutions Inc.

Web Administrator

Reston, VA · On-site +1

$85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... improvements, chatbot content, search tuning, and knowledge base updates. * Support content ... Provide basic functional, browser, mobile, accessibility, and regression testing for content ...

RIVA Solutions Inc.

Web Administrator

Reston, VA · On-site

$85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... improvements, chatbot content, search tuning, and knowledge base updates. * Support content ... Provide basic functional, browser, mobile, accessibility, and regression testing for content ...

RIVA Solutions Inc.

Web Administrator

Reston, VA · On-site +1

$85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... improvements, chatbot content, search tuning, and knowledge base updates. * Support content ... Provide basic functional, browser, mobile, accessibility, and regression testing for content ...

RIVA Solutions Inc.

Web Administrator

Reston, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... improvements, chatbot content, search tuning, and knowledge base updates. * Support content ... Provide basic functional, browser, mobile, accessibility, and regression testing for content ...

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Showing results 21-40

All JobsChatbot Tester JobsChatbot Tester Jobs in Virginia

Chatbot Tester information

What is a chatbot tester?

A Chatbot Tester is responsible for evaluating and improving chatbot performance by testing its responses, functionality, and user interactions. They identify bugs, inconsistencies, and areas for improvement to enhance user experience. Testers use various testing methods, including manual and automated testing, to ensure the chatbot understands and responds accurately. Their role helps refine chatbot behavior, making interactions more natural and efficient.

What are the typical daily responsibilities of a chatbot tester?

As a Chatbot Tester, your day-to-day tasks typically involve creating and executing test cases to evaluate chatbot functionality, accuracy, and user experience. You’ll interact with the chatbot across multiple scenarios, document defects or unexpected behaviors, and collaborate closely with developers and conversational designers to resolve issues. Regular responsibilities also include reviewing conversation logs to spot inconsistencies, ensuring compliance with language and tone guidelines, and updating test cases as the chatbot evolves. This role is highly collaborative, so clear communication and adaptability are important for working in cross-functional teams. Gaining hands-on experience with various tools and workflows can also set you up for advancement into more senior testing or QA roles.

What are the key skills and qualifications needed to thrive in the chatbot tester position, and why are they important?

To thrive as a Chatbot Tester, you need a solid understanding of software testing principles, strong analytical skills, and familiarity with chatbot or conversational AI platforms. Experience with testing tools like Selenium, Postman, and chatbot development environments, as well as knowledge of QA methodologies or ISTQB certification, is highly valuable. Excellent communication, attention to detail, and problem-solving abilities are crucial soft skills for identifying and describing chatbot issues. Mastering these skills ensures chatbots are accurate, user-friendly, and aligned with business requirements, making the tester an integral part of the development process.

What are the most commonly searched types of Chatbot Tester jobs in Virginia?

The most popular types of Chatbot Tester jobs in Virginia are:

What are popular job titles related to Chatbot Tester jobs in Virginia?

For Chatbot Tester jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Chatbot Tester jobs in Virginia look for?

The top searched job categories for Chatbot Tester jobs in Virginia are:

What cities in Virginia are hiring for Chatbot Tester jobs?

Cities in Virginia with the most Chatbot Tester job openings:

Chatbot Tester jobs near you
Infographic showing various Chatbot Tester job openings in Virginia as of August 2026, with employment types broken down into 20% Internship, 67% Full Time, and 13% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Senior AI/ML Developer/Engineer

Info Gain Consulting

Mclean, VA

$123K - $163K/yr

Full-time

Posted 22 days ago

Job description

Position summaryIGC is seeking a Senior AI/ML Developer/Engineer to design, build, deploy, and sustain machine-learning models and AI-enabled applications for a prospective federal artificial intelligence engineering program supporting a federal customer. You will move models from concept to production across approved enterprise cloud and technology platforms and collaborate closely with data scientists, software engineers, security personnel, and product teams.
This is a hands-on senior engineering role requiring strong applied machine-learning skills, disciplined engineering practices, and the ability to deliver reliable, secure, accessible, and maintainable solutions in a structured, collaborative government-contractor environment.Key responsibilities
  • Design and develop machine-learning models, algorithms, and AI-enabled applications.
  • Implement, integrate, optimize, deploy, and sustain AI and machine-learning solutions.
  • Work with data scientists, software engineers, cloud engineers, security personnel, and product teams to move models into production.
  • Analyze large and complex datasets and produce actionable insights.
  • Conduct data preprocessing, feature engineering, statistical analysis, model selection, training, testing, validation, and evaluation.
  • Tune and improve model performance, reliability, accuracy, scalability, and maintainability.
  • Evaluate emerging developments in AI and machine learning and recommend appropriate customer-approved uses.
  • Maintain strong knowledge of machine-learning algorithms, design patterns, evaluation methods, and engineering principles.
  • Create and maintain complete documentation for AI and machine-learning models, datasets, experiments, configurations, assumptions, evaluation results, performance metrics, limitations, decisions, and operating procedures.
  • Work with deep-learning frameworks.
  • Develop using Python and, where applicable, R, JavaScript, or other approved languages.
  • Use Terraform or comparable customer-approved infrastructure-as-code practices.
  • Develop and manage CI/CD pipelines and Git-based source-code management.
  • Integrate logging, monitoring, tracing, metrics, alerting, and other observability capabilities into AI engineering efforts.
  • Develop or integrate generative-AI, large-language-model, RAG, chatbot, document-processing, predictive-modeling, anomaly-detection, forecasting, or workflow-automation solutions.
  • Develop AI-enabled interfaces and outputs that meet applicable Section 508 accessibility requirements, and participate in accessibility validation during applicable development iterations and releases.
  • Support model monitoring, model-drift detection, responsible-AI controls, testing, security, privacy, access control, and production operations.
  • Support onboarding or refactoring of existing AI applications into approved enterprise environments.
  • Contribute to technical standards, reusable patterns, architecture documentation, operating procedures, test plans, and user guidance.
  • Participate in Agile planning, reviews, demonstrations, retrospectives, and production-support activities.
Required qualifications
  • Minimum of five years of relevant professional experience in AI engineering, machine learning, data science, or production software engineering.
  • Demonstrated expertise in current artificial intelligence and machine-learning technologies, emerging techniques, model-development practices, and production AI engineering.
  • Demonstrated experience designing and developing machine-learning models and algorithms.
  • Experience implementing and optimizing AI or ML solutions and integrating models into production systems.
  • Experience analyzing large and complex datasets.
  • Experience developing, evaluating, tuning, and improving model performance and accuracy.
  • Strong knowledge of machine-learning algorithms and principles.
  • Experience documenting models, experiments, processes, and performance metrics.
  • Familiarity with one or more deep-learning frameworks.
  • Strong proficiency in Python, R, JavaScript, or another programming language used for production artificial intelligence and machine-learning development. Python proficiency is strongly preferred.
  • Experience with Terraform or comparable infrastructure-as-code technology.
  • Experience implementing or managing CI/CD pipelines.
  • Experience with Git-based code management, branching, pull requests, reviews, and release controls.
  • Experience integrating observability tools into AI or ML systems.
  • Hands-on experience developing or integrating front-end, back-end, and full-stack application components used to operationalize AI and machine-learning solutions.
  • Knowledge of HTML and CSS and front-end development practices supporting UI and UX, including front-end JavaScript and libraries such as React.
  • Prototyping experience and visual communication skills.
  • Knowledge of Section 508 accessibility requirements and accessible technology delivery.
  • Testing and debugging experience, including familiarity with development tools used to evaluate application performance, usability, and page speed.
  • Experience with DevOps, cloud computing, infrastructure, web development, and software architecture.
  • Ability to work within Agile development and delivery environments and to collaborate with product owners, technical teams, security personnel, data specialists, and federal stakeholders rather than in isolation.
  • Bachelor’s or master’s degree in computer science, artificial intelligence, machine learning, software engineering, data science, or a closely related technical field.
Preferred qualifications
  • Ten or more years of relevant experience.
  • Master’s degree in a relevant technical field.
  • Experience with Azure AI services, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, AWS SageMaker, GCP Vertex AI, or comparable approved cloud AI platforms.
  • Experience developing RAG solutions, chatbots, document intelligence, translation, summarization, predictive analytics, fraud or anomaly detection, or optimization models.
  • Experience with MLOps, model registries, experiment tracking, model monitoring, responsible AI, prompt evaluation, or LLM evaluation.
  • Experience with FedRAMP-authorized cloud or SaaS environments.
  • Federal security, privacy, ATO, CUI, Section 508, or NIST experience.
  • Relevant Azure, AWS, GCP, machine-learning, data-science, security, or DevOps certifications.
Security and employment conditions
  • U.S. citizenship is required.
  • Ability to obtain and maintain a favorably adjudicated federal public-trust suitability determination before entry on duty, unless the customer formally grants temporary eligibility under its applicable procedures.
  • Ability to complete and maintain all required federal training, including security awareness, privacy, unauthorized-disclosure training, controlled unclassified information (CUI), sensitive information and For Official Use Only (FOUO) safeguarding, rules of behavior, operational security (OPSEC), insider threat, and nondisclosure requirements.
  • Ability to comply with applicable federal security, privacy, access-control, acceptable-use, and information-protection requirements.
Work location and schedule
  • This role is primarily remote, with occasional attendance at customer sites in the Washington, DC and Northern Virginia region when required.
  • Standard working hours are generally 8:00 a.m. to 4:30 p.m. Eastern Time, Monday through Friday, excluding federal holidays. Occasional work outside normal hours, including evenings, weekends, or holidays, may be required.
Application instructionsTo apply, submit your resume through this posting, including a brief summary of your relevant experience and how it maps to the qualifications above.
Reasonable accommodations are available upon request for candidates who need them to participate in the hiring process.Equal employment opportunityIGC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable law.
Employment is contingent upon contract award and completion of all applicable suitability, verification, and customer-approval requirements.