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Chatbot Training Jobs (NOW HIRING)

... in training and refining chatbot models for better accuracy. - Strong debugging and troubleshooting skills for real-time chatbot interactions. - Excellent communication skills with a focus on end ...

... · Training and deploying AI models. · Creating and utilizing Dashboards to monitor chatbot performance. · Creating custom indexes, managing data sources, and tuning intent matches to improve ...

Requirements :: • 2+ years experience with Chatbot and RAG Application Development • 2+ years ... and IT training, in addition to expanding our delivery centers in North America and the Asia ...

Track mandatory training compliance and reporting. * Assist in developing AI chatbot solutions for common IT issues. Qualifications Required Qualifications * Bachelor's degree in IT, Communications, ...

$128K - $154K/yr

Works with structured and unstructured data sources to ensure reliable data flow for chatbot training and operational analytics. Opportunity to work on real-world projects that directly impact ...

IT Training Specialist

Kings Point, NY · On-site

$40K - $80K/yr

Track mandatory training compliance and reporting. * Assist in developing AI chatbot solutions for common IT issues. Qualifications Required Qualifications * Bachelor's degree in IT, Communications, ...

... chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai) * 3+ years training and improving intent recognition by curating the appropriate training data sets * 3+ ...

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Chatbot Training information

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$30.5K

$68.6K

$115.5K

How much do chatbot training jobs pay per year?

As of Aug 5, 2026, the average yearly pay for chatbot training in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

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.
More about Chatbot Training jobs
What cities are hiring for Chatbot Training jobs? Cities with the most Chatbot Training job openings:
What states have the most Chatbot Training jobs? States with the most job openings for Chatbot Training jobs include:
Infographic showing various Chatbot Training job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 58% As Needed, 3% Full Time, 1% Part Time, 36% Nights, and 1% Summer. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago


Job description

Chatbot Engineer
For almost 50 years, our mission has been to give every student the best education possible. We want to ensure that everyone on the planet has access to the best learning resources regardless of their geographic location, socio-economic status, race, color, or creed. Founded by the US's leading tutoring and test prep company, we are well positioned to lead the educational AI revolution by providing the world's best learning experiences with innovation, research and decades of experience.
Why Join Us
We are BIG thinkers who understand our role in the world as movers and shakers in the educational sector. We embrace challenges with emboldened excitement, understanding that challenges are opportunities to build better systems and tools that serve the planet. Here you will have the opportunity to try novel approaches, pioneer new systems, and create a just world with democratized education for all. Join our work, contribute to shaping our culture, and revolutionize education in the new AI epoch.
About the Team
We are a pioneering AI team, committed to spearheading innovation in leveraging innovative technologies and foundational models to enhance educational experiences. Our team culture cherishes the "First Principles Thinking" approach, Human Centered Design and the "Move fast and break things" approach to innovation.
Description:
This role will lead the development of an omni-channel virtual tutor that utilizes real-time emotion detection inputs from our multi-modal engagement model in order to deliver an empathetic learning experience in several formats including, text, video and VR. The chatbots content need to be aligned with our pre-established learning curriculum that is tailored to a students performance. With ambitions to scale quickly, this role has the potential to shift to a leadership role in the first couple months. Our first students are in the K-12 education, therefore it's mission critical to ensure transparency.
Job Responsibilities:
- Design and implement conversational interfaces for several integrations

- Integrate multi-modal model data sets to inform the bot about appropriate style/tone.
- Work with our lead data scientist and AI engineer to integrate real-time facial emotion recognition models and near real-time student engagement
- Collaborate with UX/UI designers to enhance chatbot user experience.
- Integrate chatbots with a proprietary LMS, Video Conferencing APP, AR/VR Solution
- Continuously improve chatbot understanding and responses based on user feedback.
- Stay updated with the latest trends in conversational AI and machine learning
.- Optimize chatbot performance for speed and responsiveness.
- Address and rectify any issues or bugs in the chatbot's functioning.
-Develop self and team, helping to evolve the cognitive engineering practice and fostering a culture of collaboration, innovation and engineering excellence.
-Identifies improvement opportunities for existing processes, systems and procedures, and delivers a plan for change.
-This is a leadership level role and will blend both deep domain and technical expertise with a passion for developing and coaching colleagues across multiple feature teams.
Requirements:
- Proven track record of designing and implementing chatbots for various platforms.
- Familiarity with chatbot development tools like Dialogflow, Microsoft Bot Framework, or Rasa.
- Strong coding skills in languages such as Python, Node.js, or similar.
- Experience integrating chatbots with CRM systems, databases, and other enterprise tools.
- Ability to design conversation flows and optimize user interactions.
.- Experience in training and refining chatbot models for better accuracy.
- Strong debugging and troubleshooting skills for real-time chatbot interactions.
- Excellent communication skills with a focus on end-user experience.
- Commitment to staying updated with the latest in chatbot technology and trends.
-Experience in extending chatbot architecture through backend and channel integration via REST and SOAP APIs.
-In-depth knowledge of NLP models and approaches to training (intents, entities) and model validation (cross validation, blindest testing)
-Strong knowledge of Conversation Design techniques and the art of creating user-centric conversational experience.
-Leadership experience of Engineering teams through line management, coaching & mentoring of developers
-Strong understanding of source code repositories and tools such as Git, UCD and JIRA and be able to assist the team with technical issues.
-Familiar with an enterprise environment with automated build/test/release processes, source code management (Git) and change-management (JIRA)
Benefits:
  • Fully Remote
  • Equity options
  • Health insurance
  • Dental insurance
  • Paid sick time
  • Paid time off
  • Parental leave
  • Vision insurance
  • Family First Culture