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How much do chatbot train ai jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for chatbot train ai in the United States is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $63.46 per hour, depending on experience, location, and employer.

What does a typical day look like for someone in a Chatbot Train AI role?

A typical day involves curating and annotating data sets, training machine learning models, and analyzing chatbot interactions to identify areas for improvement. You'll work closely with data scientists, software engineers, and UX designers to refine conversational flows and enhance the chatbot's accuracy and user experience. Regular tasks also include testing new features, documenting changes, and responding to user feedback to fine-tune the system. The role requires collaboration, adaptability, and creative problem-solving to keep the chatbot aligned with business goals and evolving user needs.

What are the key skills and qualifications needed to thrive in the Chatbot Train Ai position, and why are they important?

To excel as a Chatbot Train AI professional, you need a background in computer science, linguistics, or data science, along with experience in natural language processing (NLP) and machine learning. Familiarity with tools like Python, TensorFlow, annotation platforms, and chatbot frameworks—as well as certifications in AI or machine learning—are often required. Strong analytical skills, attention to detail, and effective communication are soft skills that help individuals thrive in this role. These competencies are essential for accurately training, evaluating, and improving chatbot models, leading to more effective and user-friendly AI systems.

What is a Chatbot Train Ai job?

A Chatbot Train AI job involves training, fine-tuning, and improving chatbot models to enhance their responses and accuracy. This role includes curating datasets, analyzing chatbot interactions, and adjusting algorithms to improve performance. It may also involve writing and refining prompts, monitoring user feedback, and troubleshooting issues to ensure seamless conversations. The goal is to make the chatbot more intelligent, context-aware, and user-friendly over time.

More about Chatbot Train Ai jobs
What are the most commonly searched types of Chatbot Train Ai jobs? The most popular types of Chatbot Train Ai jobs are:
What job categories do people searching Chatbot Train Ai jobs look for? The top searched job categories for Chatbot Train Ai jobs are:
Chatbot Train Ai jobs near you
Chatbot, Conversational AI Engineer

Chatbot, Conversational AI Engineer

Euclid Innovations

Manhattan, NY

Other

Posted 6 days ago

Job description

Requisition ID P tracker ID HM Location Skill Level MOR4JP00023628 1387644 Cameron Tennock Bangalore Chatbot, Conversational AI Engineer Level 3
Summary:
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.

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