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Chatbot Training Jobs in Dallas, TX (NOW HIRING)

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:

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:

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 ...

Manager, Customer Service

Richardson, TX · On-site +1

$214K - $321K/yr

Lead strategy and execution for AI driven service initiatives including chatbot development ... Oversee hiring, training, performance coaching, and professional development for service delivery ...

Manager, Customer Service

Richardson, TX · On-site

$214K - $321K/yr

Lead strategy and execution for AI driven service initiatives including chatbot development ... Oversee hiring, training, performance coaching, and professional development for service delivery ...

Technical Program Manager

Dallas, TX · On-site

$150K - $180K/yr

Master your craft with leading training programs and hands-on experience Experience a community of ... and chatbot platforms, AI-enabled solutions, analytics platforms, enterprise modernization, and ...

... 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 ...

Chatbot Training information

See Dallas, TX salary details

$30.2K

$67.9K

$114.3K

How much do chatbot training jobs pay per year?

As of Aug 27, 2026, the average yearly pay for chatbot training in Dallas, TX is $67,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $73,700.00 per year, depending on experience, location, and employer.

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 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 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 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.

Infographic showing various Chatbot Training job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $67,878 per year, or $32.6 per hour.

Avature AI SME / Solution Lead

Emergere Technologies

Dallas, TX • On-site

Other

Posted 17 days ago


Job description

Avature AI SME / Solution Lead

Job Description:

Location

Hybrid Dallas, TX

Engagement Type

Contract

Role Summary

We are seeking a highly skilled Avature AI SME to lead the design, implementation, and adoption of Avature AI capabilities across Talent Acquisition and related workflows. The role requires hands-on expertise in Avature AI including Copilot, Agentic Automation, conversational AI, semantic matching, and AI-enabled recruiting/onboarding workflows. The candidate will drive scalable, governed, and business-aligned AI solutions.

Key Responsibilities

Lead design and implementation of Avature AI-enabled solutions across recruiting, CRM, onboarding, and talent workflows.

Configure and deploy Avature Copilot, AI agents, and automation use cases aligned to business processes.

Implement AI use cases such as job description generation, sourcing support, candidate screening summaries, interview guidance, and onboarding briefs.

Design conversational AI/chatbot experiences for candidate engagement and support.

Optimize semantic matching and skills-based hiring capabilities.

Define AI governance, controls, explainability, and compliance frameworks.

Partner with business, HR, and technology stakeholders to redesign processes.

Drive adoption, training, and continuous improvement of AI capabilities.

Required Experience

4-5+ years of HR technology / ATS experience.

Strong hands-on experience with Avature platform configuration and implementation.

Proven experience implementing Avature AI capabilities in enterprise environments.

Experience delivering large-scale TA or HR transformation programs.

Strong stakeholder management and solution delivery experience.

Must-Have Skills

Deep Avature platform expertise (configuration, workflows, portals).

Hands-on experience with Avature AI (Copilot, AI agents, automation).

Experience with semantic search, AI recommendations, and skills matching.

Conversational AI / chatbot implementation experience.

Strong understanding of AI-enabled recruiting lifecycle.

Knowledge of AI governance, explain ability, and compliance.

Strong problem-solving and communication skills.

Nice-to-Have Skills

Experience with Avature Portal Builder and candidate experience design.

Integration experience (APIs, middleware, Junction).

Experience with global TA transformation programs.

Knowledge of skills intelligence and workforce planning.

Experience in onboarding or Offer to Day 1 transformations.