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Remote Conversational Ai Jobs in Raleigh, NC (NOW HIRING)

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

This role is based in Raleigh, NC or US remote, and follows Pendo's hybrid model: in-office 3 days ... Ability to think across engagement channels - in-app, email, and conversational AI - and design ...

Remote Location: United States The Opportunity AI is changing everything. Small businesses deserve ... Start the conversation in person or by phone, and ask a few clarifying questions - What are you ...

Remote Conversational Ai information

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$11

$21

$40

How much do remote conversational ai jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote conversational ai in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 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.
What are popular job titles related to Remote Conversational Ai jobs in Raleigh, NC? For Remote Conversational Ai jobs in Raleigh, NC, the most frequently searched job titles are:
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What cities near Raleigh, NC are hiring for Remote Conversational Ai jobs? Cities near Raleigh, NC with the most Remote Conversational Ai job openings:
NLP Architect Generative AI & Conversational Intelligence - Remote - 12+ Months Contract

NLP Architect Generative AI & Conversational Intelligence - Remote - 12+ Months Contract

TMS

Durham, NC • Remote

Contractor

Posted 23 days ago


Job description

Role: NLP Architect – Generative AI & Conversational Intelligence
Location: Remote
Duration: 12+ Months Contract
Experience Needed: 15+ Years
Visa: All Visas acceptable
About the Role:
We are seeking a Principal AI Architect – Generative AI & NLP to lead the design and deployment of next-generation AI platforms powering intelligent customer experiences. This role will drive innovation across LLM-based conversational AI, agent assist systems, and autonomous CX workflows, enabling scalable, secure, and human-like interactions across global enterprises. You will play a critical role in shaping the future of AI-driven contact center platforms, combining Generative AI, GraphRAG, RLHF, and multi-agent systems to deliver highly personalized, context-aware, and trustworthy customer interactions.
Required Qualifications: 15+ years of experience in AI/ML, NLP, or distributed systems
• 5+ years working with Generative AI and LLM-based systems
• Proven experience building production-grade AI platforms at scale
• Deep expertise in:
 1. GraphRAG architecture (not just RAG)
2. RLHF and alignment systems
3. Multi-agent AI systems
4. Distributed training and inference
• Strong programming skills in Python, Scala, or Java
• Experience with PyTorch, TensorFlow, Transformers
Key Responsibilities: