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Virtual Chatbot Jobs (NOW HIRING)

Accenture

Tech Architect AI Software Engineer (GenAI, Virtual Agent, MS Copilot) sedi: Roma, Milano, Torino ... Conoscenza dei Microsoft Cognitive Services o del Bot Framework su soluzioni Chatbot o sistemi ...

Accenture

Tech Architect AI Software Engineer (GenAI, Virtual Agent, MS Copilot) sedi: Roma, Milano, Torino ... Conoscenza dei Microsoft Cognitive Services o del Bot Framework su soluzioni Chatbot o sistemi ...

Yantran LLC

Google Cloud ML Engineer

Dallas, TX · Remote

$55.50 - $74/hr

... chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation. Hands-on experience building and maintaining cloud-native chat Virtual Agent ...

RIVA Solutions

Information Resources Lead

Reston, VA

$95K/yr

The ideal candidate will lead virtual library operations, support research and literature search ... Conduct quality control and testing on taxonomy tagging, AI search, chatbot content, and search ...

Diverse Lynx

Solution Architect (R) NY

Manhattan, NY · Remote

$69.50 - $91.50/hr

... chatbot workflows for summarization, classification and intelligent routing and Agentic AI Agents * Design prompt chaining and semantic search flows for document based and FAQ based virtual ...

ACI Infotech

Genesys SME/Architect

... virtual assistants using the Genesys CloudEx platform or similar technologies Proficiency in programming languages such as JavaScript, Python, or Java, with experience in chatbot development ...

Palnar

MS Power Platform Developer

... Power Virtual Agent chatbot to deliver generic and user-specific information based on authentication status. • Develop an app for inputting and managing trainings, integrating with a system for ...

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Virtual Chatbot information

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How much do virtual chatbot jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for virtual chatbot in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Chatbot, and why are they important?

To thrive as a Virtual Chatbot, you require expertise in natural language processing (NLP), conversational AI frameworks, and programming languages like Python or JavaScript. Familiarity with chatbot development platforms (such as Dialogflow, Microsoft Bot Framework, or IBM Watson), and experience with machine learning models are typically necessary. Strong problem-solving skills, creative thinking, and effective communication help design engaging, user-friendly interactions. These skills ensure the chatbot can accurately understand user intent, provide helpful responses, and continually improve user satisfaction.

What are some common challenges faced by professionals working as Virtual Chatbot developers or trainers?

One common challenge in the role of a Virtual Chatbot developer or trainer is ensuring the chatbot delivers accurate and contextually appropriate responses to diverse user queries. Professionals often need to continuously monitor conversations, identify areas where the chatbot may misunderstand intent, and update training data accordingly. Additionally, collaborating with cross-functional teams such as UX designers, content writers, and product managers is key to refining the chatbot’s performance and user experience. Staying updated with evolving natural language processing (NLP) technologies and user expectations is also essential for long-term success.

What are Virtual Chatbots?

Virtual chatbots are computer programs designed to simulate human conversation through text or voice interactions. They are commonly used on websites, messaging apps, and customer service platforms to assist users, answer questions, or guide them through various processes. Chatbots use artificial intelligence and natural language processing to understand user queries and provide relevant responses. They help businesses improve customer support efficiency by automating common tasks and providing instant assistance around the clock.

What is the difference between Virtual Chatbot vs Customer Service Representative?

AspectVirtual ChatbotCustomer Service Representative
Required SkillsBasic programming, AI understanding, communication skillsCommunication, problem-solving, interpersonal skills
Work EnvironmentOnline, remote, AI-driven platformsCall centers, retail stores, offices
Employer & Industry UsageTech companies, e-commerce, customer supportRetail, telecom, banking, hospitality

Virtual Chatbots are AI-powered tools designed to handle customer inquiries automatically, often working online and requiring technical skills. Customer Service Representatives are human employees who provide personalized support in various settings. While both roles aim to assist customers, chatbots automate routine tasks, whereas representatives offer personalized, complex assistance.

More about Virtual Chatbot jobs
What cities are hiring for Virtual Chatbot jobs? Cities with the most Virtual Chatbot job openings:
What are the most commonly searched types of Chatbot jobs? The most popular types of Chatbot jobs are:
What states have the most Virtual Chatbot jobs? States with the most job openings for Virtual Chatbot jobs include:
What job categories do people searching Virtual Chatbot jobs look for? The top searched job categories for Virtual Chatbot jobs are:
Virtual Chatbot jobs near you
Infographic showing various Virtual Chatbot job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, and 15% Part Time. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.
Conversational AI Engineer

Conversational AI Engineer

R2 Technologies

Alpharetta, GA • On-site, Remote

Other

Posted 15 days ago

Job description

Overview:
Description:
Our client is looking for a Conversational AI Engineer to design, implement, and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP).
This role will work closely with business stakeholders to understand user needs, analyze AI interactions, and develop intelligent, responsive chatbot experiences. The ideal candidate has experience with Dialogflow CX, Vertex AI, BigQuery, and Looker Studio, as well as a deep understanding of LLMs (Large Language Models), prompt engineering, and fine-tuning AI models.
Tasks:
Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses.
Leverage LLMs and fine-tuning techniques within Vertex AI for advanced conversational capabilities.
Implement and refine conversational experiences in Dialogflow CX, incorporating Playbooks and Tools for structured interactions.
Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality.
Create guided conversational flows and prompt engineering strategies to optimize AI responses.
Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information.
Integrate Google Cloud Functions for seamless backend connectivity and automation.
Work with stakeholders to ensure AI solutions align with business goals and compliance requirements.
Monitor and iterate on AI model performance, implementing continual improvements based on user feedback and analytics.
Knowledge, Skills and Abilities Required:
Strong problem-solving skills and ability to work with both technical and non-technical stakeholders.
Skills Required:
Experience developing AI-powered chat bots or virtual assistants, preferably using Dialogflow CX and Vertex AI.
Strong understanding of Generative AI, LLMs, NLP, and prompt engineering techniques.
Proficiency in Google Cloud Services, including Vertex AI, BigQuery, Looker Studio, and Cloud Functions.
Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development.
Experience analyzing AI performance metrics and improving model accuracy.
Ability to translate business needs into effective Generative AI solutions.
Bachelors or master's degree in computer science, Computer Information Systems, AI, or a related field
Skills Desired:
Familiarity with APIs, cloud security best practices, and AI ethics
Proficiency in Python or JavaScript for AI model integration and automation.
Experience with RAG-based AI approaches to improve knowledge retrieval in conversations.
Experience deploying infrastructure as code using Terraform.
Skills:
NLP

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