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Remote Chatbot Conversational Ai Jobs (NOW HIRING)

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.

Lead AI Engineer

$104K - $138K/yr

Remote (Ohio) Duration: Long-term Contract Interview: Microsoft Teams Position Overview The State ... Conversational AI * Agentic AI * Virtual Assistants * NLP & LLM-based solutions * Strong ...

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.

... expertise in chatbot design, automation, and conversation optimization. * Content Creation ... Remote workspace, internet, and cellphone stipend * Commuter benefits for team members who report ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ... conversational chatbot platform utilized by both internal and external stakeholders. You'll enjoy ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of ... conversational chatbot platform utilized by both internal and external stakeholders. You'll enjoy ...

Remote Role Responsibilities * Red team conversational AI models and agents. Focus on jailbreaks, prompt injections, misuse cases, and bias exploitation. * Generate high-quality human data. Annotate ...

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Remote Chatbot Conversational Ai information

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How much do remote chatbot conversational ai jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote chatbot conversational ai in the United States is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Chatbot Conversational Ai vs Remote Customer Support Agent?

AspectRemote Chatbot Conversational AiRemote Customer Support Agent
Required CredentialsKnowledge of AI, NLP, programming skillsCustomer service experience, communication skills
Work EnvironmentDeveloping and managing AI systems, often in tech companiesHandling customer inquiries via chat, email, or phone
Employer & Industry UsageTech, e-commerce, SaaS companiesRetail, telecom, service industries
Search & Comparison IntentUnderstanding AI roles, technical skillsCustomer service roles, communication skills

Remote Chatbot Conversational Ai focuses on developing and managing AI-driven chat systems, requiring technical skills like NLP and programming. In contrast, Remote Customer Support Agents handle direct customer interactions, emphasizing communication and problem-solving skills. Both roles are remote but serve different functions within customer engagement and technology development.

More about Remote Chatbot Conversational Ai jobs

What cities are hiring for Remote Chatbot Conversational Ai jobs?

Cities with the most Remote Chatbot Conversational Ai job openings:

What are the most commonly searched types of Chatbot Conversational Ai jobs?

The most popular types of Chatbot Conversational Ai jobs are:

What states have the most Remote Chatbot Conversational Ai jobs?

States with the most job openings for Remote Chatbot Conversational Ai jobs include:

Infographic showing various Remote Chatbot Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $118,044 per year, or $56.8 per hour.

Health & Benefits - AI Bot Optimization Specialist (Remote)

Inspira Financial

Oak Brook, IL • Remote

Full-time

Posted 11 days ago


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.

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