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Chatbot Training Jobs in Texas (NOW HIRING)

DataBank

Knowledge & Training Specialist

Dallas, TX · On-site

Structure knowledge base content for dual use: internal engineer reference and future AI chatbot ... Training Program Development * Develop and deliver Cloud and Network training curricula for Tier 1 ...

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 ...

CYNET SYSTEMS

Business Analyst

Austin, TX · On-site

$50 - $55/hr

Experience working with AI Agents, conversational AI, AI/ML projects, agent training, or test case ... Knowledge of conversational AI platforms and chatbot technologies. * Understanding of data ...

Ericsson

Operation Specialist

Plano, TX · On-site

... validate chatbot decisioning and automation before production rollout. The skills you bring ... training, and experience. Short-Term Variable Compensation Plan : Your pay also includes the ...

All JobsChatbot Training JobsChatbot Training Jobs in Texas

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 July 2026, with employment types broken down into 1% Locum Tenens, 47% As Needed, 19% Full Time, 3% Part Time, 29% Nights, and 1% Summer. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
Knowledge & Training Specialist

Knowledge & Training Specialist

DataBank

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

DataBank Holdings Ltd. is a leading provider of enterprise-class data center, cloud, and interconnection services, offering customers 100% uptime availability of data, applications, and infrastructure. DataBank's managed data center services are anchored in world-class facilities. Our customized technology solutions are designed to help customers effectively manage risk, improve their technology performance and allow them to focus on their core business objectives. DataBank is headquartered in the historic former Federal Reserve Bank Building, in downtown Dallas, TX.
DataBank is proud to be an Equal Opportunity Employer. Our work culture at DataBank does not discriminate based on actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veterans' status, gender, gender identity, gender expression, genetic information, sexual orientation, or any other characteristic protected by applicable federal, state, or local law.
The Knowledge & Training Specialist (KTS) is responsible for maintaining the operational knowledge base for the Support Operations team. This role reports to the Sr. Manager of Support Experience and Enablement and partners with Tier 1 and Tier 2 engineers to document proven practices, develop training curricula, and create customer-facing self-service content. The KTS is a critical enabler of the Support Experience and Enablement team's mission to reduce ticket volume, improve first-contact resolution, and protect the quality and consistency of customer experience.
RESPONSIBILITIES:
  • Knowledge Base Development
  • Build and maintain Support Operations external knowledge base using KnowledgeOwl
  • Document proven operational practices including Call Back Policy, TLC Process, Single Customer Critical Event, and Sales Tickets Policy before any structural changes are communicated
  • Structure knowledge base content for dual use: internal engineer reference and future AI chatbot consumption
  • Conduct regular reviews of KB articles for accuracy, relevance, and completeness
  • Partner with Tier 1 and Tier 2 leads to identify knowledge gaps and prioritize documentation efforts
  • Training Program Development
  • Develop and deliver Cloud and Network training curricula for Tier 1 and Tier 2 engineers
  • Coordinate with other department heads to to facilitate cross functional Training Sessions
  • Build Tier 1 playbooks supporting the 45-55% first-contact resolution target
  • Create a Tier 1-to-Tier 2 advancement path curriculum including skills assessments and competency benchmarks
  • Design onboarding training materials for new engineers across all tiers
  • Coordinate with Sr. Mgr, Support Experience and Enablement to align training priorities with operational metrics
  • Customer-Facing Content
  • Develop customer-facing self-service articles targeting high-volume, high-automation-potential ticket categories (password resets, patching status, resource status)
  • Ensure customer content meets DataBank's communication standards and CX requirements
  • Collaborate with the Reporting Analyst to measure self-service content effectiveness and deflection rates
  • Quality & Continuous Improvement
  • Monitor ticket patterns in partnership with the Automation Specialist to identify recurring issues suitable for documentation or automation
  • Track knowledge base utilization and training completion metrics
  • Maintain version control and change history for all documented practices

REQUIRED QUALIFICATIONS:
  • Education
  • Bachelor's degree in Information Technology, Technical Writing, Education, or related field; or equivalent work experience
  • Experience
  • 3+ years of experience in technical writing, knowledge management, or IT training in a managed services or enterprise IT environment
  • Demonstrated experience building and maintaining a technical knowledge base
  • Experience developing training curricula for technical audiences
  • Technical Skills
  • Proficiency with knowledge management platforms (KnowledgeOwl, Confluence, or similar)
  • Strong understanding of Managed Services delivery models and common infrastructure technologies (Windows/Linux, networking, cloud, backup/recovery)
  • Familiarity with ticketing systems (ServiceNow, ConnectWise, or similar)
  • Ability to translate complex technical processes into clear, structured documentation
  • Professional Skills
  • Excellent written communication skills with a talent for clarity and concision
  • Strong organizational skills with ability to manage multiple documentation projects simultaneously
  • Collaborative working style with ability to extract knowledge from subject matter experts
  • Detail-oriented with commitment to accuracy and consistency

PREFERRED QUALIFICATIONS
  • Experience with AI chatbot content structuring or conversational design
  • Background in ITIL or other IT service management frameworks
  • Experience in a DataBank or comparable MSP environment
  • Familiarity with LMS platforms for training delivery and tracking

BENEFITS
  • Health, Vision and Dental Insurance Packages
  • Short-Term and Long-Term Disability Insurance
  • Life Insurance
  • 401k with company match
  • 3 weeks' Paid Time Off and Paid Holidays

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