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Chatbot Training Jobs in Washington (NOW HIRING)

Senior Software Engineer

Ashburn, VA · Remote

$125K - $165K/yr

Build user interfaces, APIs, middleware, data services, and back-end components for RAG/chatbot ... Must comply with DHS/FEMA training, safeguarding, and access-control requirements applicable to ...

AI/ML Subject Matter Expert

Vienna, VA · On-site

$195K - $210K/yr

Experience building feature repositories for AI-ML model training * Project work in deep learning, transformers, computer vision, NLP, or chatbot development * Experience in developing Generative AI ...

Experience with or willingness to learn AI tools, including chatbot systems such as FredAI, to ... The key focus is to develop future professionals by providing real-world training experiences.

Experience with or willingness to learn AI tools, including chatbot systems such as FredAI, to ... The key focus is to develop future professionals by providing real-world training experiences.

Senior Software Engineer

Ashburn, VA · Remote

$125K - $165K/yr

Build user interfaces, APIs, middleware, data services, and back-end components for RAG/chatbot ... Must comply with DHS/FEMA training, safeguarding, and access-control requirements applicable to ...

Experience with or willingness to learn AI tools, including chatbot systems such as FredAI, to ... The key focus is to develop future professionals by providing real-world training experiences.

Showing results 41-60

Chatbot Training information

What is chatbot training?

Chatbot training is the process of teaching a chatbot how to understand and respond to user inputs effectively. This involves feeding the chatbot with example conversations, questions, and answers so it can learn to interpret language, context, and intent. Training can be done using rule-based approaches, machine learning, or a combination of both. The goal is to improve the chatbot’s accuracy and ability to provide helpful, human-like responses.

What are the key skills and qualifications needed to thrive as a chatbot trainer, and why are they important?

To thrive as a Chatbot Trainer, you need a strong understanding of natural language processing (NLP), data annotation, and linguistic analysis, typically supported by a background in linguistics, computer science, or a related field. Familiarity with annotation tools, training platforms like Dialogflow or Rasa, and knowledge of data labeling standards and processes is essential. Attention to detail, critical thinking, and clear communication are important soft skills for effective data labeling and iterative improvement. These skills ensure that chatbots are trained accurately and efficiently, leading to better conversational AI performance and user satisfaction.

What are some common challenges faced by professionals working in chatbot training, and how can they address them?

Professionals in chatbot training often encounter challenges such as ensuring the chatbot understands various user intents, handling ambiguous language, and continuously improving the bot's responses based on user feedback. Collaborating closely with data scientists, developers, and UX designers is essential to iteratively refine training data and conversational flows. Staying updated with advancements in natural language processing (NLP) can also help address limitations and maintain a high-quality user experience. Regular review of chat logs and user interactions is key to identifying areas for improvement.

What is the difference between Chatbot Training vs Chatbot Developer?

AspectChatbot TrainingChatbot Developer
Required SkillsNatural Language Processing, data annotation, machine learning basicsProgramming, software development, API integration
Work EnvironmentData labeling, model refinement, content creationCoding, system design, deployment
CertificationsAI/ML certifications, NLP coursesSoftware development certifications, coding bootcamps
Industry UsageTraining AI models for chatbots, improving understandingBuilding and maintaining chatbot platforms and applications

Chatbot Training focuses on preparing AI models through data annotation and refining language understanding, while Chatbot Developers build and implement the chatbot systems using programming skills. Both roles are essential in creating effective chatbots but differ in technical complexity and daily tasks.

What cities in Washington are hiring for Chatbot Training jobs?

Cities in Washington with the most Chatbot Training job openings:

Infographic showing various Chatbot Training job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Senior Software Engineer

UNISSANT

Ashburn, VA • Remote

$125K - $165K/yr

Full-time

Posted 9 days ago


Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit www.unissant.com.

We are seeking a Senior Software Engineer to join our team and support our client, the Federal Emergency Management Agency (FEMA). This is a remote position.

The ideal candidate is a senior full-stack engineer who will provide technical leadership for application engineering, cloud integration, and platform operations across FEMA's AI portfolio. This individual will build, integrate, modernize, and sustain user-facing and back-end AI services that meet FEMA security, accessibility, performance, and operational requirements.

Essential Duties and Responsibilities:

  • Lead the architecture, design, development, integration, 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-analytics, and enterprise-automation solutions.
  • Apply PERN-stack engineering practices using PostgreSQL, Express.js, React, and Node.js; use Terraform for infrastructure-as-code where applicable.
  • Establish and maintain CI/CD pipelines, source-control practices, automated testing, environment promotion, and observability across FEMA-approved AI platforms.
  • Conduct system analysis, performance engineering, debugging, root-cause analysis, and technical-debt remediation.
  • Ensure user-facing deliverables comply with Section 508; support accessibility test plans, test results, and Accessibility Conformance Reports as required.
  • Develop and maintain architecture diagrams, build and operating plans, interface specifications, security artifacts, user guides, and technical documentation.
  • Collaborate with AI engineers, data scientists, cybersecurity personnel, product owners, and program stakeholders to deliver secure, scalable, production-ready capabilities.

Work Experience and Job Skills:

  • Five (5) to ten (10) years of experience in full-stack software engineering, application architecture, cloud engineering, DevSecOps, or related technical disciplines.
  • Demonstrated experience with relational databases, modern web frameworks, Agile/Scrum delivery, software architecture, and system integration.
  • Proficiency with PERN-stack technologies or comparable modern full-stack technologies; Terraform; CI/CD; git-based code management; and observability tools.
  • Experience designing accessible user interfaces and testing web applications for Section 508 conformance.
  • Experience building secure, maintainable, scalable applications and integrating cloud-hosted services, APIs, and enterprise data systems.
  • Strong technical leadership, documentation, troubleshooting, performance-engineering, and collaboration skills.

Education:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field required.

Certificates, Licenses and Registrations:

  • Cloud, DevSecOps, agile, accessibility, software architecture, or relevant technical certification preferred.

Communication Skills:

  • Excellent verbal and written communication skills, with the ability to explain architecture, technical risks, accessibility considerations, and solution tradeoffs to technical and nontechnical audiences.
  • Ability to write clear, concise content and manage sensitive information in a highly confidential manner.

Clearance Requirements:

  • U.S. Citizenship is required.
  • Favorably adjudicated FEMA Public Trust suitability is required before the employee's start date.
  • Must comply with DHS/FEMA training, safeguarding, and access-control requirements applicable to FOUO/SBU information and assigned systems.

Travel:

  • This is a remote position. Travel may be required based on client and business needs.

Environmental Requirements:

  • Mainly a routine office environment.
  • May be required to lift up to ten (10) pounds.
  • Flexible in working extended hours as needed.

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)