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Chatbot Training Jobs in Texas (NOW HIRING)

GM Financial

Conversation Designer II

Arlington, TX · On-site

Own and continuously improve the overall chatbot/IVR design and user experience, using a variety of ... training, GM employee auto discount, community service pay and nine company holidays. Our Culture:

GM Financial

Conversation Designer II

Arlington, TX · Hybrid

Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of ... training, GM employee auto discount, community service pay and nine company holidays. Our Culture:

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines ...

Apex Systems

Salesforce QA/SW

Dallas, TX · On-site

Familiarity with testing AI-driven conversational experiences, including chatbot validation, prompt ... We offer quality career resources, training, certifications, development opportunities, and a ...

Visit San Antonio

Marketing Coordinator

San Antonio, TX · On-site

$55K - $65K/yr

Provides monthly chatbot analytics, seasonal content updates, periodic accuracy testing, and ... training as needed. * Video Asset Management: Uploads and archives marketing videos in Vimeo ...

Visit San Antonio

Marketing Coordinator

San Antonio, TX · On-site

$55K - $65K/yr

Provides monthly chatbot analytics, seasonal content updates, periodic accuracy testing, and ... training as needed. * Video Asset Management: Uploads and archives marketing videos in Vimeo ...

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Chatbot Training information

What are the key skills and qualifications needed to thrive as a chatbot trainer, and why are they important?

To thrive as a Chatbot Trainer, you need a strong understanding of natural language processing (NLP), data annotation, and linguistic analysis, typically supported by a background in linguistics, computer science, or a related field. Familiarity with annotation tools, training platforms like Dialogflow or Rasa, and knowledge of data labeling standards and processes is essential. Attention to detail, critical thinking, and clear communication are important soft skills for effective data labeling and iterative improvement. These skills ensure that chatbots are trained accurately and efficiently, leading to better conversational AI performance and user satisfaction.

What is chatbot training?

Chatbot training is the process of teaching a chatbot how to understand and respond to user inputs effectively. This involves feeding the chatbot with example conversations, questions, and answers so it can learn to interpret language, context, and intent. Training can be done using rule-based approaches, machine learning, or a combination of both. The goal is to improve the chatbot’s accuracy and ability to provide helpful, human-like responses.

What is the difference between Chatbot Training vs Chatbot Developer?

AspectChatbot TrainingChatbot Developer
Required SkillsNatural Language Processing, data annotation, machine learning basicsProgramming, software development, API integration
Work EnvironmentData labeling, model refinement, content creationCoding, system design, deployment
CertificationsAI/ML certifications, NLP coursesSoftware development certifications, coding bootcamps
Industry UsageTraining AI models for chatbots, improving understandingBuilding and maintaining chatbot platforms and applications

Chatbot Training focuses on preparing AI models through data annotation and refining language understanding, while Chatbot Developers build and implement the chatbot systems using programming skills. Both roles are essential in creating effective chatbots but differ in technical complexity and daily tasks.

What are some common challenges faced by professionals working in chatbot training, and how can they address them?

Professionals in chatbot training often encounter challenges such as ensuring the chatbot understands various user intents, handling ambiguous language, and continuously improving the bot's responses based on user feedback. Collaborating closely with data scientists, developers, and UX designers is essential to iteratively refine training data and conversational flows. Staying updated with advancements in natural language processing (NLP) can also help address limitations and maintain a high-quality user experience. Regular review of chat logs and user interactions is key to identifying areas for improvement.

What are popular job titles related to Chatbot Training jobs in Texas?

For Chatbot Training jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Chatbot Training jobs in Texas look for?

The top searched job categories for Chatbot Training jobs in Texas are:

What cities in Texas are hiring for Chatbot Training jobs?

Cities in Texas with the most Chatbot Training job openings:

Chatbot Training jobs near you
Infographic showing various Chatbot Training job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Manager, Intelligent Communication Systems

San Jacinto College

Pasadena, TX • On-site

Full-time

Posted 19 days ago

San Jacinto College rating

8.9

Company rating: 8.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

34th of 618 rated colleges and universities

Job description

PRIMARY FUNCTION: The Manager, Intelligent Communications supports the Director in overseeing the College's UCaaS and CCaaS technologies that supports student and the community communications and the College's contact center, with responsibility for day-to-day operations, staff management, and overall performance. This role leads a team of analysts and serves as the primary point of contact for managed service support. Reporting to the Director, this role supports delivery of the College's Customer Experience (CX) strategy, artificial intelligence initiatives, and voice/telephony engineering. The position requires technical expertise in VoIP/SIP and strategic capabilities in AI, along with strong people leadership.

                   
Essential Job Functions:                    
 
AI Voice and Chatbot and Implementation & Technical Leadership:
  • Journey Mapping & Analysis: Using the College's CX strategy and a One-College design approach, assess the student and stakeholder journey using data and metrics to evaluate CX performance, identify friction points, and pinpoint improvement opportunities across digital environments.
  • AI Voice and Chatbot Design: Work with vendors to architect and deploy AI-driven Voice and Chatbots that optimizes seamless CX while balancing performance, latency, accuracy, cost, and operational complexity, particularly for chatbot functionality.
  • Vendor & Tool Management: Facilitate the evaluation and selection of AI chatbot and communication vendors, managing the lifecycle of chatbot products from design to production. 

Team Leadership:
  • Operational Oversight Support: Serves as the interim leader in the Director, Intelligent Communications absence. 
  • Mentor and Manage Team: Mentor and manage a team, setting high execution standards for model training, data modeling and conversational design.
  • Model Training & Accuracy: Responsible for ensuring labeling, validation, and training of AI models (specifically in NLP) to improve accuracy (e.g., reducing "confusion" metrics in bots).
  • Quality Control (RLHF): Ensure Reinforcement Learning from Human Feedback (RLHF) to optimize model performance, accuracy, and ethical alignment. 

Performance & Operational Metrics:
  • KPI Development: Define and measure success metrics (e.g., bot containment, containment, accuracy rates) to evaluate AI ROI.
  • System Performance Monitoring: Oversee the operational health of AI components (security, observability).
 
Human Resource and Performance Management:
  • Responsible for human resources management assigned to this position. This includes:
    • Lead, mentor, and supervise EIS leadership team, promoting performance and team empowerment.
    • Recommend staffing, contractor levels, budgets, resource forecasting, and organization structure to ensure optimum service delivery
    • Hire and train staff
    • Staff development
    • Ensure that performance management activities including evaluations and rating validations are completed in a timely manner
    • Ensure that staff issues within the team are addressed in accordance with the college's policies and procedures.
       
Additional Job Functions:        
  • Other duties as assigned

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