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Ai Chat Trainer Jobs (NOW HIRING)

Chat Lead

Miami, FL · On-site +1

Contribute to the onboarding and training of new agents on chat protocols, digital service standards, and AI-assisted tools. * Track and report on personal and team chat performance metrics ...

Chat Lead

Houston, TX · On-site +1

Contribute to the onboarding and training of new agents on chat protocols, digital service standards, and AI-assisted tools. * Track and report on personal and team chat performance metrics ...

Contribute to the onboarding and training of new agents on chat protocols, digital service standards, and AI-assisted tools. * Track and report on personal and team chat performance metrics ...

Chat Lead

Houston, TX · On-site +1

Contribute to the onboarding and training of new agents on chat protocols, digital service standards, and AI-assisted tools. * Track and report on personal and team chat performance metrics ...

Chat Lead

Dallas, TX · On-site +1

Contribute to the onboarding and training of new agents on chat protocols, digital service standards, and AI-assisted tools. * Track and report on personal and team chat performance metrics ...

Chat Lead

Miami, FL · On-site +1

Contribute to the onboarding and training of new agents on chat protocols, digital service standards, and AI-assisted tools. * Track and report on personal and team chat performance metrics ...

... AI chat, agentic workflows, predictive ML, computer vision, and medical AI imaging. They bridge ... for developing, training, evaluating, and deploying AI/ML solutions. Experience designing ...

Agentic Automation Empowering Teams with AI-Driven Workflows SSOE is actively piloting AI Chat ... Copilot is accessible to all staff after training. Key areas of application include using it as a ...

We will provide training on our practice management software, computer systems, and other tools. * Free access to pro-tier Gemini AI chat and other productivity tools for business and personal use.

We will provide training on our practice management software, computer systems, and other tools. * Free access to pro-tier Gemini AI chat and other productivity tools for business and personal use.

$138K/yr

... conversational AI, chat, voice, and digital interaction data across omnichannel engagement ... training requirements. Pay Range Minimum: $86,400.00 Pay Range Maximum: $138,600.00 Base pay is ...

Designing and testing AI chat scenarios * Conducting qualitative conversation analysis * Developing ... Graduate-level training (past or current) in psychology, counseling, social work, psychiatry, or ...

Designing and testing AI chat scenarios * Conducting qualitative conversation analysis * Developing ... Graduate-level training (past or current) in psychology, counseling, social work, psychiatry, or ...

Showing results 21-40

Ai Chat Trainer information

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How much do ai chat trainer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for ai chat trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is an AI Chat Trainer?

An AI Chat Trainer is a professional who helps improve artificial intelligence chatbots by training them to understand and respond accurately to human language. This role involves reviewing and annotating conversations, providing feedback, and refining the AI’s understanding of different topics and user intents. AI Chat Trainers work closely with data scientists and engineers to enhance the chatbot's performance, making interactions more natural and helpful for users. Their work is crucial for developing AI systems that can communicate effectively and empathetically.

How does an AI Chat Trainer typically collaborate with engineers and data scientists during the chatbot improvement process?

AI Chat Trainers work closely with engineers and data scientists by analyzing chatbot conversations, identifying patterns or recurring issues, and providing actionable feedback. They often annotate data, suggest refinements to conversation flows, and help prioritize which user intents need more training. Regular meetings and collaborative tools are used to ensure alignment on goals and progress. This cross-functional teamwork ensures the chatbot becomes more accurate, user-friendly, and contextually aware over time.

What are the key skills and qualifications needed to thrive as an AI Chat Trainer, and why are they important?

To thrive as an AI Chat Trainer, you need strong analytical skills, attention to detail, and a background in linguistics, communication, or computer science. Familiarity with annotation tools, chatbot platforms, and natural language processing (NLP) systems is often required. Excellent written communication, problem-solving abilities, and adaptability are valuable soft skills in this role. These skills ensure the development of accurate, effective AI models and improve user experiences with conversational AI systems.

What cities are hiring for Ai Chat Trainer jobs?

Cities with the most Ai Chat Trainer job openings:

What are popular job titles related to Ai Chat Trainer jobs?

For Ai Chat Trainer jobs, the most frequently searched job titles are:

Structural Engineer - AI-Driven Design & Revit Automation

Austin, TX • On-site

SSOE, Inc.
Construction • 1 - 5K employees

Other

Posted 23 days ago


Job description

We’ve grown our architecture capabilities: the SHYFT design team has joined SSOE. Discover how this enhances our services. [Learn More ]

ACC AI Assistant Accelerating Project Clarity with AI-Driven Specification Search

Autodesk Construction Cloud (ACC) is SSOE’s enterprise-wide project delivery platform. We partner with the Autodesk Product team and have research access. Use of the AI Assistant allows our design teams, owners, and general contractors the ability to query the project specifications for quality, answers, and more rapid responses to RFIs, submittals, or issues.

AI Knowledge Retention Lessons learned shouldn’t disappear when people move on

SSOE has developed a proof-of-concept to use an AI Agent to act as a Master Engineer and Architect trained in SSOE’s processes, best‑known-methods, and trainings. Our data structure is being remodeled to enable better use of our proprietary knowledge to train the agent on the ‘SSOE way’.

Agentic Automation Empowering Teams with AI-Driven Workflows

SSOE is actively piloting AI Chat large language models (LLMs) or copilots that use Natural Language Processing (NLP) to streamline both design and development tasks, transforming how our teams interact with software and each other.

By integrating chat LLM engines into platforms like Revit, we’re enabling users to prompt complex actions using simple, conversational commands. In Revit, this means automating tasks such as modeling elements, cleaning up parameter data, managing annotations and dimensions, and organizing sheets—without writing scripts. These automations and quality prompts can be shared across project teams, accelerating workflows and reducing manual effort.

Similarly, our internal Software Development Community is leveraging GitHub Copilot to expedite coding tasks. Developers can generate and refine code using NLP prompts, tapping into GitHub’s extensive Repo to move faster from concept to implementation.

Together, these tools represent a shift from traditional, expert-driven scripting to intuitive, AI-assisted automation, unlocking new levels of efficiency and scalability across our projects.

Autodesk Forma

We helped our client visualize and optimize façade design for occupant comfort—long before breaking ground through the use of the Autodesk Forma tool. It allows the designer to rapidly experiment with the building’s geometry and façade design to promote sustainability, prioritizing quality of spaces and comfort for end uses, especially in extreme climates (daylighting and microclimate analysis tools) at the project’s exact geographic location, using location‑specific environmental data.

SSOE is utilizing Microsoft Copilot Edge and M365 to significantly enhance work efficiency and accuracy across various departments. Copilot is accessible to all staff after training. Key areas of application include using it as a writing assistant, for idea generation, document summarization and generation, research assistant, excel assistant, programming code assistant, language translations, product comparison and data analysis. Use of Copilot has become part of the everyday life of SSOE employees who have identified key ways it can help them become more efficient with their daily tasks as well as more accurate in their deliverables.

Today, 100% of SSOE employees have taken the voluntary training and have access to Copilot Edge, achieving early our October 1, 2025 goal.

In-House Resource Planning Tool A solution to one of the AEC industry’s toughest challenges

We found ourselves in need of a more robust tool to enhance resource forecasting and staff assignment capabilities. Instead of waiting for the perfect tool, we’re building it. SSOE’s in‑house technology team has developed and piloted a tool that aims to forecast optimal staff mix and duration for new projects against existing workload to better understand capacity and manage resources efficiently. Additionally, the tool will allow teams to identify gaps to optimal staff mix.

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