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Conversational Ai Bot Jobs (NOW HIRING)

Kore.AI Developer

New York, NY · Remote

$53.75 - $69.25/hr

Kore.ai Bot Development * Design, develop, and deploy conversational bots using the Kore.ai XO Platform (Dialog Tasks, Node Flows, NLP configuration, BotKit SDK, Webhooks, Event Handlers). * Build ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

OH · On-site

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

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Conversational Ai Bot information

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$64K

How much do conversational ai bot jobs pay per year?

As of Sep 11, 2026, the average yearly pay for conversational ai bot in the United States is $63,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $64,000.00 per year, depending on experience, location, and employer.

What is a conversational AI bot?

A Conversational AI Bot is a software application that uses artificial intelligence to simulate human-like conversations with users. These bots can interact through text or voice, helping answer questions, provide recommendations, or assist with tasks in real time. Conversational AI Bots are commonly used in customer service, virtual assistants, and online chat platforms, and they continuously learn from interactions to improve their responses. By leveraging technologies like natural language processing and machine learning, these bots can understand context, intent, and language nuances to create a more natural user experience.

What are common challenges faced by professionals working on conversational AI bots, and how can these be addressed?

Professionals developing Conversational AI Bots often encounter challenges such as ensuring the bot accurately understands user intent, handling ambiguous or unexpected inputs, and maintaining a natural conversational flow. Addressing these issues requires regular training and updating of natural language understanding (NLU) models, ongoing user testing, and close collaboration with UX designers and linguists. Additionally, it's important to implement robust fallback mechanisms and continuously monitor bot performance to optimize for user satisfaction.

What are the key skills and qualifications needed to thrive as a conversational AI bot developer, and why are they important?

To thrive as a Conversational AI Bot Developer, you need strong programming skills (often in Python or JavaScript), a solid understanding of natural language processing (NLP), and typically a degree in computer science or a related field. Familiarity with frameworks like Rasa, Dialogflow, or Microsoft Bot Framework, as well as experience with APIs and cloud platforms, is essential. Excellent problem-solving abilities, creativity, and effective communication make someone stand out in this position. These skills ensure the development of intelligent, user-friendly bots that effectively meet business and user needs.

What is the difference between Conversational Ai Bot vs Customer Service Representative?

AspectConversational Ai BotCustomer Service Representative
CredentialsNone required, technical knowledge helpfulHigh school diploma or higher, customer service training
Work EnvironmentDigital, online platformsCall centers, retail stores, offices
Industry UsageCustomer support, sales, FAQsCustomer support, client relations
Search & Comparison IntentAutomated, AI-driven supportPersonalized, human interaction

Conversational Ai Bots are automated tools designed to handle customer interactions via AI, providing quick responses and 24/7 support. Customer Service Representatives are human agents offering personalized assistance, often handling complex issues. Both roles serve customer support functions but differ in automation, interaction style, and work environment.

More about Conversational Ai Bot jobs

What are popular job titles related to Conversational Ai Bot jobs?

For Conversational Ai Bot jobs, the most frequently searched job titles are:

Infographic showing various Conversational Ai Bot job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $63,731 per year, or $30.6 per hour.

Health & Benefits - AI Bot Optimization Specialist (Remote)

Oak Brook, IL • On-site, Remote

Inspira Financial
Finance and Insurance • 1 - 5K employees

Full-time

Re-posted 4 days ago


Key responsibilities

  • Own day-to-day performance monitoring, testing, and refinement of Inspira AI bot, including targeting resolution rate, deflection, and CSAT goals.

  • Conduct weekly review of conversation transcripts, escalations, and handoffs to identify knowledge gaps and breakdowns in bot understanding.

  • Design and execute structured test scenarios, including regression and A/B testing of flows and prompts, before and after knowledge base or configuration changes.


Inspira Financial rating

7.8

Company rating: 7.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

The AI Bot Optimization Specialist owns the ongoing performance, testing, and refinement of Inspira's virtual agent experience. This role analyzes conversation-level and aggregate performance data, runs structured tests ahead of and following changes, and tunes the AI Bot configuration and conversational flows to improve resolution rate, deflection, and customer satisfaction. The Bot Optimization Specialist works in close partnership with the Content Specialist(s), translating performance data into prioritized content and configuration fixes, and shares accountability for the digital experience's overall self-service effectiveness.
  • Own day-to-day performance monitoring, testing, and refinement of Inspira AI bot, including, but not limited to, Fin Voice where applicable, targeting resolution rate, deflection, and CSAT goals.
  • Conduct weekly review of conversation transcripts, escalations, and handoffs to identify knowledge gaps, mis-routed intents, and breakdowns in bot understanding.
  • Design and execute structured test scenarios, including regression and A/B testing of flows and prompts, prior to and following knowledge base or configuration changes.
  • Tune AI bot's retrieval configuration, intents, and conversational flows based on performance data and testing outcomes.
  • Partner with the Content Specialist to translate identified knowledge gaps into prioritized content tickets, and validate that published fixes resolve the underlying issue.
  • Monitor and test configuration changes affecting AI bot's suggestions for human agents.
  • Maintain a bot performance dashboard covering resolution rate, deflection rate, CSAT, and escalation volume, reporting trends to leadership on a monthly cadence.
  • Lead root-cause analysis for significant bot performance dips or recurring failure patterns, driving remediation with the Content Specialist and platform/IT support as needed.
  • Monitor AI Insights, including CX Score, Topics Explorer, and Trends reports, to identify emerging customer topics not yet covered by the bot.
  • Make light, time-sensitive content corrections directly, such as typo fixes or quick clarifications, to resolve an active bot failure, coordinating promptly with the Content Specialist to formalize the change.
  • Support new bot use case rollouts, including test plan development and go-live monitoring for new flows or digital agent capabilities.
  • Stay current on AI platform updates and features, evaluating applicability to Inspira's use case.
  • Perform other duties as assigned.

Education & Experience:
  • 2+ years of experience in conversational AI or chatbot optimization, digital customer experience analytics, or CX systems administration; experience with Intercom Fin or a comparable AI virtual agent platform strongly preferred.
  • Experience with contact center or digital CX performance metrics, including resolution rate, deflection rate, CSAT, and NPS, required.
  • Familiarity with prompt engineering, RAG-based retrieval systems, or conversational flow design preferred.
  • Experience with A/B testing, structured QA, or data-driven experimentation in a customer-facing digital tool preferred.
  • Bachelor's degree in Business, CX, Data Analytics, Computer Science, or a related field preferred; equivalent experience considered.

Skills & Abilities:
  • Strong analytical skills; able to interpret conversation-level and aggregate performance data to identify patterns and root causes.
  • Detail-oriented and methodical approach to testing; able to design and execute structured test plans before deploying changes into a live customer-facing environment.
  • Working understanding of how knowledge base content quality drives bot performance; able to translate bot failures into clear, actionable content or configuration requests.
  • Comfortable partnering across content, platform administration, and compliance functions to resolve performance issues.
  • Effective communicator; able to present bot performance trends and recommendations to non-technical leadership audiences.
  • Comfortable operating in a fast-paced, iterative environment with frequent testing cycles and evolving platform capabilities.
  • Demonstrates the highest degree of honesty, integrity, and ethical conduct in all professional activities.

What Inspira Financial employees say

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