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Internship Chatbot Train Ai Jobs (NOW HIRING)

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How much do internship chatbot train ai jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for internship chatbot train ai in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Chatbot Train Ai vs Chatbot Developer?

AspectInternship Chatbot Train AiChatbot Developer
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fieldsBachelor's or higher in Computer Science, Software Engineering, or related fields
Work EnvironmentInternship setting, often collaborative teams in tech companies or startupsFull-time professional role, often in software development teams
Employer & Industry UsageUsed by companies developing AI chatbots, training models, and improving NLP systemsDevelops, maintains, and enhances chatbot applications and platforms

Internship Chatbot Train Ai focuses on training AI models and gaining hands-on experience in AI training processes, often as an entry-level or internship role. Chatbot Developer involves designing and coding chatbot applications, requiring more advanced programming skills. Both roles are essential in the AI chatbot industry but differ in experience level and responsibilities.

More about Internship Chatbot Train Ai jobs
What cities are hiring for Internship Chatbot Train Ai jobs? Cities with the most Internship Chatbot Train Ai job openings:
What are the most commonly searched types of Chatbot Train Ai jobs? The most popular types of Chatbot Train Ai jobs are:
What states have the most Internship Chatbot Train Ai jobs? States with the most job openings for Internship Chatbot Train Ai jobs include:
Infographic showing various Internship Chatbot Train Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Chatbot, Conversational AI Engineer

Chatbot, Conversational AI Engineer

Euclid Innovations

Manhattan, NY

Other

Posted 9 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.