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Conversational Ai Jobs (NOW HIRING)

ClarkDietrich

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Job Summary The Conversational AI Specialist will help turn Customer Experience AI strategy into practical execution across customer and internal service use cases. This role is responsible for ...

ClarkDietrich

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Job Summary The Conversational AI Specialist will help turn Customer Experience AI strategy into practical execution across customer and internal service use cases. This role is responsible for ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration: Long Term Day to Day job Duties: * Develop and implement conversational AI solutions: Design, build, and ...

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 ...

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How much do conversational ai jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for conversational ai in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or AI executives, which offer compensation packages including salary, bonuses, and stock options. These roles often require advanced skills in data science, programming, and AI frameworks, along with extensive experience and leadership responsibilities.

What is the salary of a conversational AI developer?

The salary of a conversational AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in natural language processing, machine learning, and relevant tools like Python or TensorFlow tend to earn higher salaries.

How much do conversational AI specialists make?

Conversational AI specialists typically earn between $70,000 and $130,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning and natural language processing can earn higher salaries, often exceeding $150,000.

What is a Conversational AI job?

A Conversational AI job involves designing, developing, and optimizing AI-powered chatbots, virtual assistants, and voice interfaces to improve user interactions. Professionals in this field work with natural language processing (NLP), machine learning, and conversational design to create seamless and intuitive AI responses. Roles can range from AI engineers and chatbot developers to conversation designers and data analysts. These jobs require a mix of technical skills, linguistic expertise, and user experience (UX) knowledge. The goal is to enhance customer support, automation, and user engagement through intelligent dialogue systems.

What's the easiest AI job to get?

Entry-level roles in Conversational AI, such as chatbot tester or data annotator, are generally the easiest to obtain. These positions often require basic understanding of AI concepts, attention to detail, and familiarity with tools like annotation platforms, with minimal prior experience needed.

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

To thrive as a Conversational AI professional, you need expertise in natural language processing (NLP), machine learning, computer science, and the ability to design effective, user-friendly dialogue systems. Familiarity with Python, TensorFlow or PyTorch, cloud platforms, chatbot frameworks, and often certifications in AI or data science are valued in this field. Creativity, problem-solving, strong communication skills, and a user-centric mindset help professionals excel in building intuitive conversational experiences. These skills ensure the development of reliable, engaging AI-driven interfaces that meet business objectives and enhance user satisfaction.

What types of projects or responsibilities can I expect in a Conversational AI role?

In a Conversational AI role, you can expect to work on developing and fine-tuning chatbots, virtual assistants, and voice interfaces to improve user interaction and automate customer support. Responsibilities often include designing conversation flows, training language models, evaluating user interactions, and collaborating with product managers, UX designers, and software engineers. Many Conversational AI professionals also conduct ongoing research to implement the latest advancements and refine system accuracy. This role provides exposure to varied industries such as healthcare, finance, and e-commerce, offering significant opportunities for both technical growth and cross-functional collaboration.

More about Conversational Ai jobs
What cities are hiring for Conversational Ai jobs? Cities with the most 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 Conversational Ai jobs? States with the most job openings for Conversational Ai jobs include:
What job categories do people searching Conversational Ai jobs look for? The top searched job categories for Conversational Ai jobs are:
Conversational Ai jobs near you
Infographic showing various Conversational Ai job openings in the United States as of June 2026, with employment types broken down into 10% Full Time, 80% Part Time, and 10% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Conversational AI Specialist

ClarkDietrich

West Chester, OH • On-site

$16 - $21.25/hr

Full-time

Posted 16 days ago

Job description

Do you have a strong work ethic and the desire to join an organization that invests in its people through cross-training and development? ClarkDietrich fosters a work-life balance and offers competitive compensation and benefits. Join the ClarkDietrich team by applying to the Conversational AI Specialist position at our West Chester, OH location.

Job Summary
The Conversational AI Specialist will help turn Customer Experience AI strategy into practical execution across customer and internal service use cases. This role is responsible for improving chatbot and conversational AI experiences, structuring knowledge and content for high-quality AI responses, and enabling teams to apply AI effectively in day-to-day work.

This is a hands-on, execution-focused role for someone who combines strong business-side AI fluency with experience in B2B customer service, EDI customer service, support operations, onboarding, customer success, or similar customer-facing environments. The role does not require software development expertise, but it does require comfort configuring and improving no-code or low-code AI and chatbot solutions, partnering with Digital/IT teams, and bringing structure to ambiguous opportunities.

This role will report to the Digital Program Manager -- CX and serve as the CX-side lead for conversational experience design, intents, knowledge, testing, and optimization across existing platforms and vendor relationships.

Key Responsibilities

Conversational AI Execution and Optimization
Own the CX-side execution of chatbot and conversational AI experiences across customer and internal service use cases.
Design, test, refine, and optimize conversational flows, intents, prompts, response patterns, and escalation paths.
Identify and prioritize opportunities to reduce repetitive service demand through AI-enabled self-service.
Monitor chatbot and conversational AI performance and recommend improvements to increase containment, answer quality, and user satisfaction.
Support launch planning and rollout of new conversational AI use cases within existing tools and vendor environments.
Work across existing platforms and tools to improve conversational experiences, service workflows, and team adoption, with particular emphasis on business use cases rather than tool ownership.

Knowledge and Content Structuring
Organize, improve, and maintain knowledge sources, content structures, FAQs, and business rules that support accurate AI responses.
Partner with subject matter experts across CX, sales, onboarding, and related functions to capture and structure knowledge for AI use.
Help define content standards and governance practices that improve retrieval quality, consistency, and usability.
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 affect AI performance.

Team Enablement and Adoption
Train and coach CX and customer-facing teams on practical AI usage in daily workflows.
Help teams adopt effective prompting, workflow habits, and quality standards across approved AI tools.
Bring structure and discipline to emerging AI opportunities by helping teams move from ideas to practical business use cases.
Create playbooks, guidance, and lightweight documentation that improve repeatability and adoption.
Support internal change management by helping non-technical teammates build confidence and skill with AI-enabled workflows.

Cross-Functional Collaboration
Partner closely with CX, sales, onboarding, and Digital/IT stakeholders to improve conversational experiences and align business requirements.
Serve as the CX lead for business-side chatbot and conversational AI requirements, knowledge design, and user experience decisions.
Work within current platform and vendor relationships, helping evaluate fit for use cases and justify additional tools only when clearly needed.
Support selected customer meetings, trade shows, and external conversations when conversational AI capabilities or customer workflow needs are relevant.
Help bridge customer-facing business needs with technical teams without owning deep technical integration architecture.

Year One Success Measures
Success in this role will be measured primarily by launching and improving AI/chatbot experiences that measurably reduce live-service demand.
Additional success will be measured by improving AI answer quality through stronger knowledge and content structure, increasing practical AI adoption across CX and adjacent customer-facing teams, and creating more consistent, scalable conversational experiences across existing platforms.

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