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Remote Conversational Ai Jobs (NOW HIRING)

Cresta

Associate Conversational AI Designer

$60K - $95K/yr

Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation ... Work from home office stipend to help you succeed in a remote environment * Lunch reimbursement for ...

Cresta

Associate Conversational AI Designer

OR · On-site +1

$60K - $95K/yr

As part of Cresta's Conversation Design team, you will assist in designing high quality AI ... Work from home office stipend to help you succeed in a remote environment * Lunch reimbursement for ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ...

Asurion

$132K - $174K/yr

Remote At Asurion, wedon'tjust redefine-we reinvent. We began byestablishinga culture that rewards ... AI platform, including production conversational experiences across digital and voice/IVR journeys.

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Asurion

Senior Software Engineer - Conversational AI

$125K - $165K/yr

Remote At Asurion, we don't just redefine-we reinvent. We began by establishing a culture that ... AI platform, including production conversational experiences across digital and voice/IVR journeys.

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Remote Conversational Ai information

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How much do remote conversational ai jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for remote 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 are Remote Conversational AI jobs?

Remote Conversational AI jobs involve working with artificial intelligence systems that interact with users through natural language, such as chatbots and virtual assistants. These roles can include developing, training, testing, and maintaining AI models, as well as designing conversational flows and improving user interactions. The work is performed remotely, allowing employees to contribute from anywhere with an internet connection. Professionals in this field often have backgrounds in computer science, linguistics, or UX design, and work closely with teams to enhance the AI's ability to understand and respond to human language.

What is the difference between Remote Conversational Ai vs Remote Chatbot Developer?

AspectRemote Conversational AiRemote Chatbot Developer
Required SkillsNatural Language Processing, AI frameworks, API integrationProgramming, scripting, chatbot platform development
Work EnvironmentCollaborates with AI teams, data scientists, product managersWorks with developers, UI/UX designers, clients
Industry UsageAI-driven customer support, virtual assistantsCustomer service bots, lead generation bots
CertificationsAI/ML certifications, NLP coursesProgramming certifications, platform-specific training

Remote Conversational Ai specialists focus on designing and implementing AI-powered conversational systems using NLP and machine learning, often working with data scientists. Remote Chatbot Developers primarily build and code chatbots using scripting and platform tools. While both roles involve chatbot technology, Remote Conversational Ai emphasizes AI and NLP expertise, whereas Remote Chatbot Developer centers on coding and platform integration.

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

To thrive as a Remote Conversational AI Specialist, you need expertise in natural language processing, machine learning, and a strong understanding of AI-driven dialogue systems, often supported by a degree in computer science or related fields. Familiarity with platforms like Dialogflow, Rasa, or Microsoft Bot Framework, as well as programming languages such as Python, is typically required. Strong problem-solving, collaboration, and communication skills help you gather requirements and iterate on conversational designs with cross-functional teams. These skills are crucial for developing effective, user-friendly AI interactions that drive customer satisfaction and business value.

What are some common challenges faced by Remote Conversational AI professionals, and how can they be addressed?

Remote Conversational AI professionals often encounter challenges such as maintaining clear communication with cross-functional teams, staying updated with rapidly evolving AI technologies, and ensuring the AI models are culturally and contextually appropriate for diverse users. To address these, it's important to establish regular virtual check-ins, participate in ongoing training or knowledge-sharing sessions, and leverage collaborative tools for version control and feedback. Proactively seeking feedback from both users and stakeholders also helps refine conversational flows and improve AI effectiveness.
More about Remote Conversational Ai jobs
What cities are hiring for Remote Conversational Ai jobs? Cities with the most Remote Conversational Ai job openings:
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What states have the most Remote Conversational Ai jobs? States with the most job openings for Remote Conversational Ai jobs include:
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Remote Conversational Ai jobs near you
Infographic showing various Remote Conversational Ai job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Conversational AI Developer

Conversational AI Developer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 14 days ago

Job description

Role: Conversational AI Developer

Location: Adelphi, Maryland – Hybrid/Remote

Duration: 12+ months

Local candidates preferred

Need LinkedIn profile

Must Have: Chatbot developers Microsoft Foundary

Job Summary

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies.

Responsibilities:

  • Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies
  • Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories
  • Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly
  • Leverage Generative AI services to enhance chatbot responses with creativity and personalization
  • Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience
  • Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions
  • Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization
  • Stay updated on the latest advancements in Conversational AI technologies and best practices

Preferred Qualifications:

  • 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots
  • Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization
  • Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
  • Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
  • Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
  • Experience configuring Azure Cosmos DB for storing 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 handling or content generation
  • Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
  • Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
  • SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod)
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work independently and manage multiple projects simultaneously
  • Passion for innovation and a strong desire to push the boundaries of Conversational AI technology

Benefits:

  • Be a part of a cutting-edge team at the forefront of Conversational AI development in Higher Education
  • Work on challenging and rewarding projects that make a real impact
  • Opportunity to learn and grow your skills in a dynamic and fast-paced environment