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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 ...

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 ...

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Skills and Competencies Conversational design and chatbot optimization. Knowledge architecture and content structuring. AI workflow enablement and practical team training. Strong business judgment ...

It's easy. Just apply with our amazing chatbot assistant, Olivia. We will gather some contact ... Over 50 hours PAID TRAINING in the first 3 months - with advanced cutting & color classes at our ...

It's easy. Just apply with our amazing chatbot assistant, Olivia. We will gather some contact ... Over 50 hours PAID TRAINING in the first 3 months - with advanced cutting & color classes at our ...

It's easy. Just apply with our amazing chatbot assistant, Olivia. We will gather some contact ... Over 50 hours PAID TRAINING in the first 3 months - with advanced cutting & color classes at our ...

It's easy. Just apply with our amazing chatbot assistant, Olivia. We will gather some contact ... Over 50 hours PAID TRAINING in the first 3 months - with advanced cutting & color classes at our ...

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Chatbot Training information

See salary details

$30.5K

$68.6K

$115.5K

How much do chatbot training jobs pay per year?

As of Jun 22, 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 is a chatbot?

A chatbot is a software application designed to simulate human conversation through text or voice interactions. In chatbot training roles, individuals develop and improve these systems by providing relevant data, refining responses, and ensuring accurate communication using tools like natural language processing. Effective training enhances the chatbot's ability to understand and respond to user queries accurately.

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.

Can I use chatbot AI for free?

Chatbot training roles often involve working with AI platforms that may offer free tiers or trial versions for developing and testing chatbots. However, deploying and maintaining advanced or commercial chatbot AI typically requires paid subscriptions or licenses, depending on the tools and services used. Familiarity with AI platforms and cost management is important for effective chatbot training.

Is Alexa a chatbot?

Alexa is a virtual assistant developed by Amazon that uses natural language processing to interact with users through voice commands. While it functions similarly to a chatbot by engaging in conversations, it is primarily designed as a voice-controlled AI assistant rather than a traditional text-based chatbot. For chatbot training roles, understanding voice and natural language processing technologies like Alexa can be beneficial.

What is the difference between chatbot and ChatGPT?

A chatbot is a software program designed to simulate conversation with users, often using predefined scripts or simple algorithms. ChatGPT is a specific advanced language model developed by OpenAI that uses deep learning to generate human-like responses, making it more flexible and capable of handling complex interactions. For a chatbot training role, understanding these differences helps in developing and fine-tuning conversational AI systems effectively.

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 June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.
Chatbot, Conversational AI Engineer

Chatbot, Conversational AI Engineer

Euclid

Manhattan, NY • Remote

Other

Posted 15 days ago


Job description

Chatbot / Conversational AI Engineer

The Application Infrastructure team is seeking a motivated Chatbot / Conversational AI Engineer to join the Chatbot team. A successful candidate will participate in all aspects of software development, working directly with chatbot experts, other developers and engineers within the team, and our internal clients who wish to adopt chatbot solutions as part of technology service delivery.

Job Responsibilities
  • Act as a subject matter expert on the chatbot platform
  • Develop integrations in Python and Groovy that enable virtual agents to interoperate with various systems
  • Participate in every phase of the Software Development Lifecycle
  • Create Generative Artificial Intelligence solutions and drive their adoption
  • Understand, refine, and translate customer requirements into working software
  • Create and enhance various utilities that support the chatbot platform
  • Lead design and code reviews
  • Work closely with a global team of engineers, SREs, and conversational AI experts
  • Identify automation opportunities and lead the way in addressing them
  • Train and refine intent detection models
  • Continuous Improvement of production virtual agents
  • Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation
  • Support POCs and product demonstrations
Qualifications

Primary Skill:

  • Strong knowledge of software design and best practices
  • Deep experience with Python coding and development
  • Experience with JavaScript and Node.js and other software development frameworks and libraries
  • Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs
  • Familiarity with CI/CD practices and experience with GitHub and Jenkins
  • Excellent written and verbal communication skills
  • Deep experience with Agile development practices such as Scrum
  • Strong background in Linux
  • Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts

You might also have:

  • Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform
  • Sourcing and labeling training data for ML models
  • Experience in generative Artificial Intelligence, and LLMs
  • Familiarity with DevOps practices
  • Knowledge of Docker, Kubernetes
  • Experience with cloud platforms such as AWS and Azure

Team Profile:

Enterprise Technology & Services (ETS) delivers shared technology services for the Firm supporting all business applications and end users. ETS provides capabilities for all stages of the Firm's software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of our employees. Application and end user services are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database services. Within ETS, the Chatbot Team in Application Infrastructure provides a scalable Natural Language Understanding platform for designing and building virtual agent solutions that can be adapted to a variety of technology services.