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Conversational Ai Analyst Jobs (NOW HIRING)

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration ... sentiment analysis to understand user queries effectively. * Ensure security and compliance:

Forhyre

OH

Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space. * Collaborate with cross-functional teams including engineering, design, and ...

Forhyre

Product Manager - Conversational AI

Dallas, TX · On-site

Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space. * Collaborate with cross-functional teams including engineering, design, and ...

Forhyre

Product Manager - Conversational AI

Phoenix, AZ · On-site

Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space. * Collaborate with cross-functional teams including engineering, design, and ...

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Conversational Ai Analyst information

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How much do conversational ai analyst jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for conversational ai analyst in the United States is $35.97, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $42.07 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For a Conversational AI Analyst, roles that require complex human interaction, emotional intelligence, and strategic decision-making are likely to persist, such as healthcare professionals, mental health counselors, and specialized technical roles like AI ethics specialists. These jobs involve nuanced understanding and empathy that AI systems currently cannot replicate fully. Continuous learning and adaptability are essential to stay relevant as AI advances.

What are some common challenges faced by Conversational AI Analysts when improving chatbot performance?

Conversational AI Analysts often encounter challenges such as accurately interpreting user intent, handling ambiguous queries, and managing the evolving language used by customers. They must continuously analyze conversation logs, identify areas where the AI fails to provide satisfactory responses, and collaborate with data scientists, developers, and UX designers to refine natural language models. Staying up-to-date with advancements in NLP technologies and ensuring that the chatbot aligns with business goals are also important aspects of the role.

How much do conversational AI specialists make?

Conversational AI specialists typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Senior roles or those with advanced skills in natural language processing and machine learning can earn higher salaries, often exceeding $130,000.

What is the difference between Conversational Ai Analyst vs Data Analyst?

AspectConversational Ai AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of NLP and AI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, customer service platformsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused companies, tech firms, customer experience teamsVarious sectors analyzing data for insights and decision-making

The Conversational Ai Analyst specializes in developing and optimizing AI chatbots and voice assistants, focusing on natural language processing. In contrast, the Data Analyst interprets data sets to inform business decisions across industries. While both roles require analytical skills and familiarity with data tools, the Conversational Ai Analyst emphasizes AI and NLP technologies, whereas the Data Analyst centers on data visualization and statistical analysis.

What does a Conversational AI Analyst do?

A Conversational AI Analyst is responsible for designing, analyzing, and optimizing AI-driven conversational interfaces such as chatbots and virtual assistants. They use data to evaluate user interactions, identify patterns, and suggest improvements to enhance user experience and accuracy. Their work often involves collaborating with developers, data scientists, and UX designers, as well as conducting A/B testing and monitoring performance metrics. The ultimate goal is to ensure the conversational AI systems are effective, efficient, and aligned with business objectives.

How do I get into AI with no experience?

To become a Conversational AI Analyst with no experience, start by learning foundational skills in programming languages like Python and understanding natural language processing (NLP). Gaining familiarity with AI tools and platforms such as TensorFlow or Dialogflow, and completing online courses or certifications can help build relevant knowledge. Entry-level roles often require demonstrating problem-solving skills and a willingness to learn about AI development and analysis.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers, machine learning executives, or AI product leaders, often in large tech companies or startups with significant funding. These positions usually require advanced skills in AI, deep learning, and data science, along with extensive experience and leadership responsibilities.

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

To thrive as a Conversational AI Analyst, you need a solid background in data analysis, natural language processing (NLP), and linguistics, often supported by a degree in computer science, linguistics, or a related field. Familiarity with analytics platforms, chatbot development tools (such as Dialogflow or Rasa), and scripting languages like Python is typically required. Strong problem-solving ability, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for designing, optimizing, and evaluating AI-driven conversational systems to ensure accurate and user-friendly interactions.
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Conversational Ai Analyst jobs near you
Conversational AI Developer

Conversational AI Developer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 24 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