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Chatbot Training Jobs in Virginia (NOW HIRING)

Halvik

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 ...

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Chatbot Training information

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 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 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 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.
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What cities in Virginia are hiring for Chatbot Training jobs? Cities in Virginia with the most Chatbot Training job openings:
Chatbot Training jobs near you
Infographic showing various Chatbot Training job openings in Virginia as of July 2026, with employment types broken down into 2% Locum Tenens, 61% As Needed, 2% Full Time, 1% Part Time, 32% Nights, and 2% Summer. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Senior AI/ML Engineer

Senior AI/ML Engineer

Node.Digital

Herndon, VA • On-site

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Senior AI/ML Engineer

Location: Herndon, VA (Hybrid Work)

Preferred: US Citizenship

Node.Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.

Role: AI/ML Engineer

The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efciency and continuous refnement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.

Requirements

Required Skills:

  • Overall experience of 6-10 Years working on Application/framework development
  • Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
  • Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK,Lambda, and other AI/ML services
  • Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning)
  • Hands-on exp with OCR, ICR and OMR technologies is a must
  • Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
  • Good understanding of Document Processing, classifcation, data extraction is a must
  • Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
  • Hands-on Web application/APIs Development experience is a must
  • Profciency in asynchronous/multi-threaded programming
  • Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
  • Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
  • Strong knowledge of object-oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
  • Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
  • Knowledge of AWS cloud architecture patterns and serverless computing
  • Experience with CI/CD pipelines and DevSecOps practices
  • Knowledge of Agile methodologies is desirable
  • Experience working with a toolchain that includes TFS, SVN, Git
  • Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies

Responsibility:

Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.

Key responsibilities include:

Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures

Building repeatable intelligent solutions/bots for document processing and data cleansing

Developing and deploying scalable ML/AI models on AWS infrastructure

Creating API endpoints and integrations for AI/ML services

Implementing model evaluation, monitoring, and continuous improvement processes Collaborating with cross-functional teams to embed AI capabilities across business functions

Nice to Have:

Experience with front-end frameworks (React, Angular, Vue.js) and modern web development UiPath RPA Developer Certifcation and UiPath AI Center Experience

Knowledge of chatbot development and conversational AI

Experience with AWS Bedrock Agents and Guardrails

Familiarity with model distillation and prompt optimization techniques

Understanding of responsible AI practices and AI security

Recommended Certifcations:

AWS Certifed Machine Learning – Specialty

AWS Certifed Solutions Architect

General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer

UiPath AI Center Experience (nice to have)

Eucation/Year of Exp:

Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development

Cultural Fit:

Effective communication skills for technical discussions

Comfortable with Agile methodologies

Ability to work remotely

Alignment with customer's mission and values

Adaptability to varying organizational structures

Data Analysis and Data Architecture Skills

Strong problem-solving abilities for complex AI/ML challenges

Benefits

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training