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Internship Chatbot Development Jobs (NOW HIRING)

Senior Amazon Connect Developer

Concord, NC Β· Remote

$105K - $138K/yr

Implement conversational AI and chatbot solutions using Google Dialogflow CX or similar platforms ... Culture of Relentless Performance: join an unstoppable technology development team with a 99 ...

Senior Amazon Connect Developer

$125K - $165K/yr

Implement conversational AI and chatbot solutions using Google Dialogflow CX or similar platforms ... Culture of Relentless Performance: join an unstoppable technology development team with a 99 ...

Salesforce Developer Intern

Boise, ID Β· On-site

$52.75 - $70/hr

Key Responsibilities Development & Configuration * Build and maintain custom objects, fields, page ... chatbot frameworks) * Coursework, internship, or project experience involving CRM or business ...

Salesforce Developer Intern

Boise, ID Β· On-site

$52.75 - $70/hr

Key Responsibilities Development & Configuration * Build and maintain custom objects, fields, page ... chatbot frameworks) * Coursework, internship, or project experience involving CRM or business ...

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Internship Chatbot Development information

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How much do internship chatbot development jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for internship chatbot development in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in chatbot development?

An Internship in Chatbot Development is a temporary, practical work experience where students or recent graduates learn how to design, build, and maintain chatbotsβ€”computer programs that simulate conversation with users. Interns typically work with programming languages like Python or JavaScript and use frameworks such as Dialogflow or Microsoft Bot Framework. The role involves tasks like coding, testing, debugging, and improving chatbot interactions. This internship helps participants gain hands-on experience in artificial intelligence (AI), natural language processing (NLP), and software development. It's a valuable stepping stone for careers in AI, software engineering, or conversational UX design.

What are typical responsibilities for an intern in chatbot development?

Interns in chatbot development are often tasked with designing conversational flows, testing chatbot interactions, and assisting with code implementation using platforms like Dialogflow or Microsoft Bot Framework. They may also analyze user feedback and help improve the chatbot's responses. These tasks directly support the team's ability to deliver a more effective, user-friendly product while giving interns hands-on experience with real-world development cycles and collaborative, agile workflows.

What are the key skills and qualifications needed to thrive as an internship chatbot developer?

To thrive as an Internship Chatbot Developer, you need foundational programming skills (such as Python or JavaScript), understanding of natural language processing (NLP) concepts, and relevant coursework in computer science or related fields. Familiarity with chatbot development platforms (like Dialogflow, Microsoft Bot Framework, or Rasa) as well as version control systems like Git is often expected. Strong problem-solving abilities, effective communication, and a willingness to learn help interns contribute to team projects and adapt to evolving technologies. These skills ensure that interns can effectively build, test, and improve chatbot solutions while collaborating in a dynamic tech environment.

What is the difference between Internship Chatbot Development vs Chatbot Developer?

AspectInternship Chatbot DevelopmentChatbot Developer
Required CredentialsEnrolled in or recent graduate of relevant field (e.g., Computer Science)Bachelor's or higher in Computer Science or related field
Work EnvironmentInternship programs, entry-level projects, team collaborationFull-time or freelance roles, professional projects
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, customer service companies, AI firms
Search & Comparison IntentLearning, entry-level opportunities, career explorationProfessional development, advanced skills, career growth

Internship Chatbot Development roles are designed for students or recent graduates gaining initial experience in chatbot creation, often involving supervised projects. Chatbot Developers are experienced professionals responsible for designing, coding, and maintaining chatbot systems in a professional setting. The internship provides foundational skills, while the developer role requires advanced expertise and independent work.

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Infographic showing various Internship Chatbot Development job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Fall Intern: AI Enablement Agent Development & Automation (Part Time)

Denver, NY β€’ On-site

$16.50 - $21.75/hr

Part-time, Internship

Posted 6 days ago


Job description

Location: Hybrid (Local to Denver or NYC area)

Position Summary:

The AI Enablement Agent Development & Automation Intern will support the design, prototyping, testing, and implementation of AI agents and workflow automation solutions across the enterprise. Working directly with the AI Enablement team and business stakeholders, the intern will help identify business needs, gather requirements, map processes, and translate opportunities into practical AI-enabled solutions.

The role provides hands-on exposure to enterprise generative AI and agentic technologies, including Microsoft Copilot and Copilot Studio, GitHub Copilot, Claude, ChatGPT, workflow automation, APIs, and enterprise knowledge sources.

The ideal candidate is a curious builder and problem solver who enjoys understanding how people work and using technology to make those processes simpler, faster, and more intelligent.

Position Responsibilities:

Meet with business stakeholders to understand business problems, workflows, pain points, and opportunities for AI and automation.

Assist with requirements gathering, process mapping, use-case definition, and solution design for AI-enabled workflows and agents.

Build and prototype AI agents, copilots, prompts, workflows, and automations using approved enterprise technologies.

Support solutions using platforms such as Microsoft Copilot Studio, Microsoft 365 Copilot, Power Automate, GitHub Copilot, Claude, ChatGPT, and other approved AI technologies.

Assist with connecting AI solutions to approved enterprise knowledge sources, applications, APIs, and business processes.

Develop and test prompts, agent instructions, knowledge retrieval approaches, workflows, and user interactions.

Conduct functional testing and user acceptance testing and document issues, results, feedback, and recommended improvements.

Create documentation including requirements, process flows, solution designs, test cases, user guides, and implementation materials.

Partner with AI Enablement, Product, Engineering, Architecture, Security, Compliance, and business teams to ensure solutions follow enterprise AI governance and security requirements.

Help measure the effectiveness of AI solutions through metrics such as time saved, adoption, quality, accuracy, user satisfaction, and business value.

Research emerging AI technologies and agentic capabilities and develop small proofs-of-concept to evaluate potential enterprise applications.

Support the AI Enablement team's pipeline of AI use cases, pilots, prototypes, and enterprise transformation initiatives.

Required Qualifications:

Portfolio/Project Submission: Candidates are encouraged to provide links or examples of AI agents, automations, applications, GitHub repositories, hackathon projects, coursework, or other AI solutions they have personally designed or built.

Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Engineering, Business Analytics, Management Information Systems, or a related field.

Demonstrated interest or hands-on experience with generative AI, AI agents, automation, software development, or emerging technology.

Ability to understand a business problem and translate requirements into a logical process, workflow, prototype, or technical solution.

Strong analytical, problem-solving, communication, and documentation skills.

Ability to learn new technologies quickly and work collaboratively with both business and technical stakeholders

(Optional) Preferred Qualifications:

Hands-on experience with one or more of the following: Microsoft Copilot Studio, Power Platform/Power Automate, GitHub Copilot, Claude/Claude Code, ChatGPT, Azure AI, APIs, Python, JavaScript, or similar technologies.

Experience building an AI agent, chatbot, application, workflow automation, or AI-enabled prototype through coursework, internships, hackathons, capstone projects, or personal projects.

Familiarity with prompt engineering, retrieval-augmented generation (RAG), APIs/connectors, AI evaluation, or agentic workflows.

Familiarity with Microsoft 365, SharePoint, Teams, Jira, GitHub, Azure DevOps, or similar enterprise collaboration/development platforms.

Experience gathering requirements, creating process flows, documenting user stories, or working directly with end users