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Chatbot Training Jobs (NOW HIRING)

... · 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 ...

Our partner is looking for a Product Designer (Chatbot) based in Netherlands. Join a collaborative ... Comprehensive learning and professional development resources, including internal training, digital ...

New

Structure knowledge base content for dual use: internal engineer reference and future AI chatbot ... Training Program Development * Develop and deliver Cloud and Network training curricula for Tier 1 ...

$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 ...

... 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+ ...

Maintain version-controlled AI training content that is audit-ready and aligned with policy and regulatory requirements. * Monitor chatbot and voicebot analytics to identify underperforming flows ...

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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 Jul 14, 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 2% Locum Tenens, 60% As Needed, 2% Full Time, 1% Part Time, 33% Nights, and 2% Summer. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.
Chatbot Conversational AI Developer

Chatbot Conversational AI Developer

IT America Inc

Hartford, CT • On-site

$50.75 - $69.75/hr

Contractor

Re-posted 16 days ago


Job description

Position               : Chatbot Conversational AI Developer (IBM Watson, Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai, NLP)

Location              : Hartford, CT (Hybrid)

Duration              : Long term contract

Primary Skill Set              : IBM Watson

Secondary Skillset           : Chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)

Job Description:

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems
  • Applying clean coding skills and best practices
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfill intents
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat)
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications
  • Integrate chatbot solutions with multiple platforms
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities
  • Tuning and enhancing Speech to Text models

Required Qualifications:

  • 5+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM Watson Assistant, or any other similar 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+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Experience with working on watsonx Assistant and watsonx Orchestrate
  • Backend (server side) development experience either in Java, node.js
  • Multi-language background and experience working with programming languages such as Python, Java, Javascript/Typescript
  • Experience with IBM Voice gateway and / or IBM Discovery is a plus
  • Knowledge of automated speech recognition, including SSML tagging for TTS