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Part Time Conversational Ai Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Applied AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Knowledge of user experience (UX) best practices, including conversational AI and generative ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

One Call

Sr Dir Contact Cntr Eng

$167K - $268K/yr

... Part-time Full Time Salary Range Min - Max (USD) $167703 - $268325 Country United States Date 21 ... Stays current on the evolving agentic AI and conversational AI landscape and applies it to the ...

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Part Time Conversational Ai information

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How much do part time conversational ai jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for part time conversational ai in the United States is $16.18, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $17.79 per hour, depending on experience, location, and employer.

What is a part time conversational AI job?

Part Time Conversational AI jobs involve working with artificial intelligence systems that focus on natural language processing and communication, such as chatbots or virtual assistants. These roles typically include tasks like training AI models, annotating data, evaluating responses, or developing conversation flows. Part-time positions allow for flexible hours and are often remote, making them suitable for students or those seeking supplemental income. The main goal is to improve the AI's ability to understand and respond to human language accurately and effectively.

What are the key skills and qualifications needed to thrive as a part time conversational AI specialist?

To thrive as a Part-Time Conversational AI Specialist, you need a solid understanding of natural language processing concepts, basic programming (often Python), and experience with conversational design, typically supported by relevant coursework or certifications. Familiarity with AI platforms like Dialogflow, Microsoft Bot Framework, or IBM Watson, as well as version control systems, is common in this role. Strong communication, problem-solving abilities, and attention to detail help you design user-friendly conversations and troubleshoot issues effectively. These skills are crucial for building engaging, reliable AI interactions that meet user needs and business objectives.

What are some common challenges faced by part time conversational AI specialists, and how can they be addressed?

Part-time Conversational AI specialists often face challenges such as staying updated with rapidly evolving AI technologies, managing project timelines with limited hours, and ensuring smooth communication with full-time team members. To address these, it's beneficial to establish clear communication channels, set realistic expectations regarding deliverables, and dedicate regular time to learning about new advancements in natural language processing and AI frameworks. Collaborating closely with cross-functional teams and leveraging project management tools can also help maintain alignment and productivity.

What is the difference between Part Time Conversational Ai vs Customer Service Representative?

AspectPart Time Conversational AiCustomer Service Representative
Required CredentialsBasic technical knowledge, training in AI toolsHigh school diploma or equivalent, customer service training
Work EnvironmentRemote, digital platformsOffice or call center, in-person or remote
Employer & Industry UsageTech companies, AI service providersRetail, telecom, finance, various industries
Search & Comparison IntentUnderstanding AI roles, automation jobsCustomer support, communication skills

Part Time Conversational Ai roles focus on managing AI chatbots and virtual assistants, often requiring technical training. Customer Service Representatives handle direct customer interactions, emphasizing communication skills. While both serve customer needs, Conversational Ai roles are more tech-oriented and remote, whereas Customer Service roles may involve in-person work and interpersonal skills.

More about Part Time Conversational Ai jobs
What cities are hiring for Part Time Conversational Ai jobs? Cities with the most Part Time Conversational Ai job openings:
What are the most commonly searched types of Conversational Ai jobs? The most popular types of Conversational Ai jobs are:
What states have the most Part Time Conversational Ai jobs? States with the most job openings for Part Time Conversational Ai jobs include:
What job categories do people searching Part Time Conversational Ai jobs look for? The top searched job categories for Part Time Conversational Ai jobs are:
Part Time Conversational Ai jobs near you
Infographic showing various Part Time Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $33,649 per year, or $16.2 per hour.

AI Automation & Integration Developer -Conversational AI

PCG INTERNATIONAL INC

Chicago, IL • On-site

Part-time

Posted 5 days ago

Job description

Description:

PCG Consulting Group
Location: Remote (U.S. Only – Eastern, Central, or Mountain Time Preferred)
Employment Type: Part-Time | W-2


About PCG Consulting Group International:

PCG Consulting Group is a healthcare consulting firm focused on helping healthcare organizations improve operational efficiency through workflow modernization, automation, and artificial intelligence. We specialize in delivering practical technology solutions that improve business operations, reduce manual work, and support better outcomes.


We are not a strategy-only consulting firm we build, implement, and support real-world solutions that deliver measurable results. As our AI Automation practice continues to grow, we're looking for a hands-on developer who enjoys solving business problems through AI, automation, and system integration.


About the Role:

We're seeking an AI Automation & Integration Developer to help design, build, and support enterprise AI solutions for healthcare organizations. This role is ideal for someone who enjoys writing code, integrating systems, automating workflows, and building AI-powered applications that solve real operational challenges. You'll work closely with our architecture leadership to develop conversational AI, workflow automation, API integrations, and intelligent business solutions.


Our current initiatives include:

  • AI-powered patient intake workflows
  • Conversational voice automation
  • Intelligent call routing
  • Workflow orchestration
  • Healthcare scheduling integrations
  • Reporting and analytics
  • AI-assisted clinician engagement
  • Enterprise API integrations

What you'll do:

  • Design, develop, and support AI-powered workflow automation solutions.
  • Build Python services that integrate AI platforms with enterprise applications.
  • Develop and maintain REST APIs, webhook handlers, and system integrations.
  • Configure and extend conversational AI workflows using platforms such as IntelePeer CAP and related technologies.
  • Develop AI-driven voice automation solutions and conversational experiences.
  • Integrate AI applications with CRM systems, scheduling platforms, reporting tools, and healthcare applications.
  • Build data transformation and normalization processes supporting AI workflows.
  • Troubleshoot production issues and optimize deployed AI solutions.
  • Participate in solution architecture, design discussions, and technical planning.
  • Develop automated testing strategies for AI workflows and integrations.
  • Support deployment, monitoring, and ongoing maintenance of production AI applications.

The successful candidate will demonstrate experience in one or more of the following:

  • Building AI-powered business applications.
  • Developing production Python applications.
  • Creating REST APIs and webhook-based integrations.
  • Designing conversational AI or voice automation workflows.
  • Integrating enterprise applications through APIs.
  • Troubleshooting production systems.
  • Supporting AI solutions from design through deployment.
  • Solving business problems through automation rather than simply building AI model

We're looking for someone who enjoys building practical solutions not just experimenting with AI.


You'll thrive in this role if you enjoy:

  • Solving business problems through technology.
  • Building applications that people actually use.
  • Taking ownership from design through deployment.
  • Learning new platforms and technologies quickly.
  • Working collaboratively in a small, highly technical team.
  • Continuously improving and modernizing business processes through automation and AI.

This is more than a development role it's an opportunity to help shape a growing AI automation practice.

You'll work directly with experienced technical leadership on enterprise healthcare projects that are already underway, with the opportunity to make a meaningful impact from day one.


We offer:

  • 100% Remote (U.S.)
  • Flexible schedule- W-2 Employment
  • Competitive Compensation
  • Direct mentorship from AI and architecture leadership
  • Exposure to cutting-edge AI and automation technologies
  • Opportunity to help build and scale a growing AI practice
  • Long-term career growth as our AI team expands


Requirements:
  • Strong experience developing applications using Python.
  • Experience designing and consuming REST APIs.
  • Experience building webhook-based integrations.
  • Understanding of workflow automation concepts.
  • Experience integrating third-party platforms and enterprise systems.
  • Strong troubleshooting and analytical skills.
  • Experience supporting production applications.
  • Comfortable working independently in a remote environment.
  • Strong communication and collaboration skills.

Experience with one or more of the following:

  • Conversational AI platforms
  • Voice automation
  • Twilio
  • IntelePeer CAP
  • Retell AI
  • Amazon Connect
  • CPaaS platforms
  • LangChain
  • Retrieval-Augmented Generation (RAG)
  • OpenAI APIs
  • AI workflow orchestration
  • Docker
  • Cloud platforms (AWS or Azure)
  • CI/CD pipelines
  • Healthcare technology
  • HIPAA-compliant environments
  • CRM integrations
  • Reporting and analytics platforms

Technologies you may work with:

  • IntelePeer CAP
  • SmartAgent
  • SmartFlows
  • AI Hub Agents
  • Python
  • REST APIs
  • Webhooks
  • OpenAI APIs
  • LangChain
  • Vector databases
  • Workflow orchestration
  • Voice AI platforms
  • Reporting & Analytics
  • Docker
  • Git
  • Cloud services

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