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Manager Chatbot Tester Jobs (NOW HIRING)

Manage cloud-based infrastructure for chatbot hosting and scaling * Ensure optimal performance ... Unit testing frameworks and practices * Cloud platforms (AWS, Azure, Google Cloud) * Container ...

... design, testing, and deployment. * Drive measurable improvements in agent performance through ... What you bring * 3-5 years of experience in conversational AI, knowledge management, chatbot ...

... integration testing for chatbot flows and APIs. • Familiarity with debugging tools and ... management. • Strong understanding of neural networks, computer vision, natural language ...

You'll spearhead the evolution of our testing maturity, managing an extensive network of GNSS ... Familiar with embedded AI and chatbot testing techniques * AI test automation is a plus. Logistics:

Configure and optimize existing chatbot workflows and connectors to enhance process efficiency and ... and testing integrations directly. Analytical and solution-oriented: able to translate business ...

Configure and optimize existing chatbot workflows and connectors to enhance process efficiency and ... and testing integrations directly. Analytical and solution-oriented: able to translate business ...

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

This role is responsible for improving chatbot and conversational AI experiences, structuring ... This role will report to the Digital Program Manager -- CX and serve as the CX-side lead for ...

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How much do manager chatbot tester jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for manager chatbot tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.
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Contractor

Posted 15 days ago


Job description

Overview:
POSITION SUMMARY
We are seeking an experienced Conversational AI Developer for a 6-month contract position with flexible location options in Richardson, Scottsdale, or Woonsocket. This role focuses on developing and implementing chatbot solutions using IBM Watson Assistant and other conversational AI platforms. The ideal candidate will have extensive experience in software delivery, chatbot development, and applying AI best practices to create intelligent conversational experiences.
RESPONSIBILITIES
CHATBOT DEVELOPMENT & IMPLEMENTATION
  • Design, develop, and deploy conversational AI solutions using IBM Watson Assistant
  • Build chatbots using alternative platforms such as Google Dialogflow CX, LivePerson, Amazon Lex, and Kore.ai
  • Implement natural language processing (NLP) capabilities for enhanced user interactions
  • Create conversational flows that provide intuitive and effective user experiences
  • Integrate chatbots with existing enterprise systems and applications
AI TRAINING & OPTIMIZATION
  • Train and improve intent recognition through curating appropriate training datasets
  • Apply conversational AI best practices including NLP and training data optimization
  • Continuously refine chatbot performance through data analysis and user feedback
  • Implement machine learning techniques to enhance conversation quality
  • Monitor and optimize chatbot accuracy and response effectiveness
SOFTWARE DEVELOPMENT & DELIVERY
  • Participate in end-to-end software development processes within Agile environments
  • Apply DevOps approaches for continuous integration and deployment
  • Implement CI/CD pipelines, Git version control, and unit testing practices
  • Manage source code effectively throughout the development lifecycle
  • Collaborate with cross-functional teams to deliver high-quality software solutions
CLOUD DEPLOYMENT & MANAGEMENT
  • Deploy conversational AI solutions using cloud development and deployment principles
  • Manage cloud-based infrastructure for chatbot hosting and scaling
  • Ensure optimal performance, security, and reliability of deployed solutions
  • Implement monitoring and logging for production chatbot systems
QUALIFICATIONS
REQUIRED EXPERIENCE
  • 5+ years of software delivery experience
  • 3+ years of chatbot development experience with IBM Watson Assistant or similar platforms
  • 3+ years of experience training and improving intent recognition systems
  • 3+ years applying conversational AI best practices (NLP and training data optimization)
  • 1+ years of experience with CI/CD, Git, unit testing, and source code management
  • 1+ years of cloud development and deployment experience
  • 1+ years working in Agile environments with DevOps knowledge
TECHNICAL SKILLS
Conversational AI Platforms:
  • IBM Watson Assistant (primary requirement)
  • Google Dialogflow CX
  • LivePerson
  • Amazon Lex
  • Kore.ai
  • Understanding of conversational AI architecture and design patterns
Development & Programming:
  • Backend development experience (Java, Node.js preferred)
  • Multi-language programming background (Python, Java, JavaScript, TypeScript)
  • RESTful API development and integration
  • Database design and management
  • Understanding of microservices architecture
DevOps & Cloud:
  • CI/CD pipeline implementation and management
  • Git version control and branching strategies
  • Unit testing frameworks and practices
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Container technologies (Docker, Kubernetes)
AI & Machine Learning:
  • Natural Language Processing (NLP) techniques
  • Intent recognition and entity extraction
  • Training data curation and management
  • Machine learning model optimization
  • Speech recognition and text-to-speech technologies
PREFERRED QUALIFICATIONS
  • Experience with IBM Watson Orchestrate and Watson Assistant
  • IBM Voice Gateway and/or IBM Discovery experience
  • Knowledge of automated speech recognition and SSML tagging for TTS
  • Certifications in IBM Watson or other conversational AI platforms
  • Experience with voice-enabled conversational interfaces
  • Background in linguistics or computational linguistics