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Conversation Ai Jobs (NOW HIRING)

Checkr

AI Conversation Designer

Denver, CO · On-site

About the team/role We are seeking a skilled and detail-oriented AI Conversation Designer to join our Service Design team. This role is central to managing and optimizing our conversational AI agents ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

This role is central to managing and optimizing our conversational AI agents across multiple modalities, directly impacting customer experience and operational efficiency. The ideal candidate will ...

ClarkDietrich

Conversational AI Specialist

West Chester, OH

$16 - $21.25/hr

Translate complex B2B service and operational processes into AI-ready knowledge and conversation logic. Continuously identify content gaps, inconsistent documentation, and unclear business rules that ...

ClarkDietrich

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Translate complex B2B service and operational processes into AI-ready knowledge and conversation logic. Continuously identify content gaps, inconsistent documentation, and unclear business rules that ...

Forhyre

OH

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for ...

VIVA USA INC

Conversational AI Developer

MD · On-site +1

$49 - $54/hr

... conversation state, user data, and telemetry logs Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back ...

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Conversation Ai information

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How much do conversation ai jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for conversation ai in the United States is $60.28, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $71.15 per hour, depending on experience, location, and employer.

What is the difference between Conversation Ai vs Customer Support Specialist?

AspectConversation AiCustomer Support Specialist
Required CredentialsTechnical knowledge, AI/machine learning familiarityCustomer service training, communication skills
Work EnvironmentDigital, remote, AI platformsCall centers, offices, remote
Industry UsageTech, e-commerce, SaaSRetail, telecom, finance
Common Search IntentAI chatbot development, automationCustomer issue resolution, support roles

Conversation Ai involves developing and managing AI-driven chatbots and virtual assistants, focusing on automation and technical skills. Customer Support Specialists handle direct customer interactions, providing personalized assistance. While both roles aim to improve customer experience, Conversation Ai is more technical and automation-focused, whereas Customer Support Specialists focus on human interaction and problem-solving.

What is a Conversation AI specialist?

A Conversation AI specialist is a professional who designs, develops, and optimizes artificial intelligence systems that can engage in natural, human-like conversations. They work on technologies such as chatbots, virtual assistants, and voice interfaces, using natural language processing (NLP) and machine learning to improve communication between humans and machines. Their role often involves collaborating with designers, engineers, and data scientists to create seamless user experiences and continuously enhance the AI's conversational abilities.

What are the key skills and qualifications needed to thrive as a Conversation AI Specialist, and why are they important?

To thrive as a Conversation AI Specialist, you need a solid background in natural language processing (NLP), machine learning, and computer science, often supported by a relevant degree. Expertise with frameworks and tools like TensorFlow, PyTorch, Python, and popular conversational AI platforms such as Dialogflow or Rasa, along with knowledge of cloud services, is typically required. Strong problem-solving, creativity, and communication skills help you design user-friendly conversational interfaces and collaborate across multidisciplinary teams. These skills are crucial for building effective, ethical, and scalable AI systems that deliver meaningful user experiences.

How do Conversation AI specialists typically collaborate with product and engineering teams to improve chatbot performance?

Conversation AI specialists often work closely with both product managers and engineering teams to enhance chatbot capabilities. They analyze user interactions to identify areas for improvement, suggest changes to conversation flows, and help prioritize new features based on user feedback. Regular meetings and cross-functional workshops are common, ensuring alignment on user needs and technical feasibility. This collaboration fosters a continuous feedback loop that helps deliver more natural and effective conversational experiences.
More about Conversation Ai jobs
What cities are hiring for Conversation Ai jobs? Cities with the most Conversation Ai job openings:
What states have the most Conversation Ai jobs? States with the most job openings for Conversation Ai jobs include:
What job categories do people searching Conversation Ai jobs look for? The top searched job categories for Conversation Ai jobs are:
Conversation Ai jobs near you
Infographic showing various Conversation Ai job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $125,374 per year, or $60.3 per hour.
AI Conversation Designer

AI Conversation Designer

Checkr

Denver, CO • On-site

Other

Posted 15 days ago

Job description

About the team/role

We are seeking a skilled and detail-oriented AI Conversation Designer to join our Service Design team. This role is central to managing and optimizing our conversational AI agents across multiple modalities, directly impacting customer experience and operational efficiency. The ideal candidate will have hands-on experience with conversational AI platforms, a strong understanding of conversation design principles, and the ability to analyze performance data to drive continuous improvement. This role requires someone who is curious, adaptable, and passionate about leveraging AI to deliver seamless, human-centered support experiences.

What you'll do

  • Lead the development, optimization, and ongoing management of conversational AI agents across modalities, ensuring consistent performance and user experience.
  • Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation design, testing, and deployment.
  • Drive measurable improvements in agent performance through analysis of key performance indicators and conversation analytics.
  • Partner with cross-functional teams to identify automation opportunities and implement solutions that reduce contact volume while maintaining service quality.
  • Develop and maintain comprehensive documentation for AI agent workflows and processes.
  • Monitor and troubleshoot AI agent behavior, diagnosing issues across conversation flows and escalating technical issues as needed.
  • Implement and iterate on dynamic response content, including conditional logic, personalization, and multimedia elements within conversational interfaces.
  • Lead special projects as required to support evolving AI capabilities and business needs.

What you bring

  • 3-5 years of experience in conversational AI, knowledge management, chatbot administration, or similar roles managing customer-facing digital channels.
  • Hands-on experience with conversational AI platforms and understanding of NLU/NLP concepts.
  • Proficiency in conversation design principles, including intent mapping, utterance training, and fallback strategies.
  • Strong analytical skills with the ability to interpret conversation logs, performance dashboards, and customer feedback to drive optimization.
  • Excellent written communication skills and ability to craft clear, concise bot responses for diverse audiences.
  • Proven ability to collaborate cross-functionally and translate business requirements into actionable solutions.
  • Comfort navigating ambiguity and managing multiple priorities in a fast-paced environment.
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

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