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Remote Conversation Designer Jobs in Detroit, MI

Remote Conversation Designer information

See Detroit, MI salary details

$30.7K

$56.1K

$85.1K

How much do remote conversation designer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote conversation designer in Detroit, MI is $56,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $64,800.00 per year, depending on experience, location, and employer.

What is a remote conversation designer?

A Remote Conversation Designer is a professional who creates and optimizes dialogues for chatbots, voice assistants, and other conversational interfaces while working from a remote location. They focus on designing natural, engaging, and effective interactions between humans and AI-powered systems. Their responsibilities include scripting user flows, anticipating user needs, testing conversations, and collaborating with developers and product teams to refine the user experience. Working remotely, they leverage digital communication tools to coordinate with teams and clients, ensuring the conversational products meet business and user goals.

What are the key skills and qualifications needed to thrive as a remote conversation designer?

To thrive as a Remote Conversation Designer, you need a strong grasp of linguistics, UX writing, and user-centered design principles, often supported by a background in communication, design, or computer science. Familiarity with conversational AI platforms like Dialogflow, Voiceflow, or Microsoft Bot Framework, as well as knowledge of prototyping tools and natural language processing, is typically required. Creativity, empathy, and excellent collaboration skills help designers craft engaging, user-friendly conversational experiences. Mastering these skills ensures effective and intuitive interactions for users, directly impacting product usability and customer satisfaction.

What are the main collaboration tools and processes used by remote conversation designers to work effectively with cross-functional teams?

As a remote conversation designer, you'll frequently collaborate with product managers, engineers, UX researchers, and other designers. Common tools include Slack or Microsoft Teams for real-time communication, Figma or Miro for collaborative design and workflow mapping, and project management platforms like Jira or Asana to track progress. Regular video meetings and clear documentation practices are vital to ensure alignment, especially when working across time zones. Emphasizing transparent communication and utilizing shared digital workspaces help ensure your conversational flows are seamlessly integrated into products.

What is the difference between Remote Conversation Designer vs Remote Chatbot Developer?

AspectRemote Conversation DesignerRemote Chatbot Developer
CredentialsUX/UI design, NLP understanding, communication skillsProgramming skills, NLP frameworks, API integration
Work EnvironmentDesign-focused, collaborative with UX teamsTechnical coding, software development teams
Industry UsageCustomer experience, AI design, product teamsAI development, software companies, tech firms

Remote Conversation Designers focus on creating intuitive dialogue flows and user experiences for chatbots, emphasizing design and user interaction. In contrast, Remote Chatbot Developers handle the technical implementation, coding, and integration of chatbot systems. Both roles often collaborate but differ mainly in their skill sets and daily tasks.

What job categories do people searching Remote Conversation Designer jobs in Detroit, MI look for?

The top searched job categories for Remote Conversation Designer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Conversation Designer jobs?

Cities near Detroit, MI with the most Remote Conversation Designer job openings:

AI Architect (with Azure)-Remote : Contract on w2

Marvel Technologies Inc

Southfield, MI โ€ข Remote

$65 - $84.75/hr

Contractor

Re-posted 27 days ago


Job description

Job Title :  AI Architect (with Azure)

Location :   Remote-USA

Duration : Long Term Contract

Contract on w2

Domain- Preferred Insurance.

Experience: 15+ years

Role Overview:

We are seeking a highly skilled AI Azure Architect to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud/Azure Cloud.

Key Responsibilities:

  • Define end-to-end AI architectures covering ingestion → storage → retrieval → reasoning → action → monitoring.
  • Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
  • Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
  • Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.

OR

  • Select and justify Azure-native AI/ML Services - Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob Storage, Azure AI Search, Azure Cognitive Services, Service Principals, and Azure Agent (critical for agentic workflows).
  • Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
  • Lead PoCs to production with AWS-based templates and golden paths.
  • Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
  • Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
  • Ensure seamless AWS/Azure enterprise integrations with insurance platforms (policy, claims, underwriting).

Required Skills & Experience:

  • 15+ years in AI/ML software, 3–5+ years in solution/enterprise architecture.
  • Proven experience designing AI systems at enterprise scale on AWS/Azure.
  • Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.

OR

  • Hands on Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Service Principals, Azure Blob, Azure AI Search, Azure Cognitive Services, and Azure Agent.
  • Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
  • Strong multi-cloud cost/latency tradeoff knowledge.
  • Excellent communication, stakeholder engagement, and blueprinting skills.
  • Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).