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Afternoon Ai Chatbot Trainer Jobs (NOW HIRING)

... · Training and deploying AI models. · Creating and utilizing Dashboards to monitor chatbot performance. · Creating custom indexes, managing data sources, and tuning intent matches to improve ...

Track mandatory training compliance and reporting. * Assist in developing AI chatbot solutions for common IT issues. Qualifications Required Qualifications * Bachelor's degree in IT, Communications, ...

Track mandatory training compliance and reporting. * Assist in developing AI chatbot solutions for common IT issues. Qualifications Required Qualifications * Bachelor's degree in IT, Communications, ...

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Skills and Competencies Conversational design and chatbot optimization. Knowledge architecture and content structuring. AI workflow enablement and practical team training. Strong business judgment ...

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Skills and Competencies Conversational design and chatbot optimization. Knowledge architecture and content structuring. AI workflow enablement and practical team training. Strong business judgment ...

IT Training Specialist

Kings Point, NY · On-site

$80K - $120K/yr

Track mandatory training compliance and reporting. * Assist in developing AI chatbot solutions for common IT issues. Qualifications Required Qualifications * Bachelor's degree in IT, Communications, ...

IT Training Specialist

Kings Point, NY · On-site

$80K - $120K/yr

Track mandatory training compliance and reporting. * Assist in developing AI chatbot solutions for common IT issues. Qualifications Required Qualifications * Bachelor's degree in IT, Communications, ...

About the Team We are a pioneering AI team, committed to spearheading innovation in leveraging ... training and refining chatbot models for better accuracy. - Strong debugging and troubleshooting ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Knowledge Base Chatbot Integration: Implement and continuously enhance a proprietary AI chatbot ... Create a next-generation augmented reality onboarding and training program to upskill technicians ...

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Afternoon Ai Chatbot Trainer information

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How much do afternoon ai chatbot trainer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for afternoon ai chatbot 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 afternoon AI chatbot trainer?

An Afternoon AI Chatbot Trainer is a professional who works part-time, typically during afternoon hours, to train and improve artificial intelligence chatbots. Their responsibilities often include reviewing chatbot conversations, providing feedback, labeling data, and helping the AI better understand natural language. This role is essential for ensuring chatbots provide accurate, helpful, and human-like responses to users. Afternoon shifts may appeal to those seeking flexible work or balancing other commitments. Training usually involves using specialized software and following guidelines to enhance the chatbot's language skills.

What does an afternoon AI chatbot trainer do?

As an Afternoon AI Chatbot Trainer, your typical day involves reviewing and annotating chat logs, providing feedback to improve chatbot responses, and collaborating with developers and data scientists to refine conversational models. You may participate in team stand-up meetings to discuss recent findings or challenges and coordinate on testing new features. The role requires both independent focus and regular communication with colleagues to ensure the chatbot meets quality and accuracy standards. Being proactive in sharing insights and suggesting improvements is highly valued in this collaborative environment.

What are the key skills and qualifications needed to thrive as an afternoon AI chatbot trainer?

To thrive as an Afternoon AI Chatbot Trainer, you need strong analytical skills, a background in linguistics or computer science, and experience with AI or natural language processing systems. Familiarity with chatbot platforms, annotation tools, and data management software is typically required. Attention to detail, effective communication, and adaptability are crucial soft skills for training and refining conversational AI models. These skills ensure the development of accurate, user-friendly chatbots that meet diverse client needs and deliver high-quality AI interactions.

What is the difference between Afternoon Ai Chatbot Trainer vs Afternoon Ai Content Annotator?

AspectAfternoon Ai Chatbot TrainerAfternoon Ai Content Annotator
Required CredentialsBasic understanding of AI, training experienceAttention to detail, basic technical skills
Work EnvironmentRemote or office-based, collaborativeRemote, independent task-focused
Employer & Industry UsageAI companies, tech startupsAI data labeling firms, tech companies
Common Search & ComparisonTraining AI models, improving chatbot responsesAnnotating data, preparing datasets

The Afternoon Ai Chatbot Trainer focuses on training and refining chatbot responses by providing feedback and adjustments, while the Afternoon Ai Content Annotator primarily labels and prepares data for AI training. Both roles require attention to detail and familiarity with AI processes but differ in their specific tasks and work environment.

How much do Afternoon AI Chatbot Trainers make?

Afternoon AI Chatbot Trainers typically earn between $15 and $25 per hour, depending on experience and location. The role involves training and refining chatbot responses, often requiring skills in AI tools and data annotation, with some positions offering full-time or part-time schedules.

How to become an Afternoon AI Chatbot Trainer?

To become an Afternoon AI Chatbot Trainer, candidates typically need a background in computer science, linguistics, or related fields, along with experience in machine learning, natural language processing, or data annotation. Familiarity with chatbot platforms and strong communication skills are also important, and some roles may require certifications in AI or data management. Training often involves understanding AI models, providing high-quality data, and working within a team to improve chatbot performance.

Is training Afternoon Ai Chatbot Trainers a real job?

Yes, training an Afternoon AI Chatbot Trainer is a real job that involves teaching the AI to understand and respond accurately to user inputs. It typically requires skills in machine learning, natural language processing, and data annotation, often performed in a flexible or remote work environment.
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Infographic showing various Afternoon Ai Chatbot Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

AI Chatbot Developer[Remote]

SmartIPlace

Columbus, OH • Remote

Contractor

Re-posted 26 days ago


Job description

Position: Product Specialist 5 / PS 5 (AI Chatbot Developer)

Location: 77S High St Ste B1, Columbus, OH 43215

Visa: USC,H1B,  H4-EAD, OPT-EAD

Interview Type:  Teams 

Remote, however, if there are any meetings or workshops they can be asked to report to Rhodes State Office tower.

AI Engineer Role:

JFS is seeking an experienced Artificial Intelligence (AI) Engineer, who possesses extensive knowledge and hands-on experience in developing intelligent chatbot solutions using both Microsoft Bot Framework and Google Cloud Contact Center AI (CCAI). This role includes developing traditional and generative AI solutions using platforms such as Google CCAI Services, Microsoft ecosystem, and will also assist with supporting and modernizing On-Prem SharePoint applications to M365. Responsibilities include building conversational interfaces, integrating with natural language processing (NLP) or generative AI, effective prompt engineering, connecting chatbot systems to other software applications, supporting SharePoint On-Prem applications, and modernizing existing SharePoint On-Prem systems to M365 as needed. AI Engineer is also responsible for designing and delivering data access through APIs, and ensuring that these solutions are securely deployed. The goal is to create AI and M365 applications that are innovative and help to improve customer experience and worker efficiency. For AI Chatbots, this means creating a chatbot experience that is not only conversational but also natural, engaging, and intuitive.

Responsibilities include:

·        Developing and maintaining Microsoft and Google AI applications including but not limited to Conversational Agents and Generative AI solutions that interact with web services, APIs, and other software applications.

·        Building new M365 solutions to replace existing On-Prem SharePoint applications.

·        Designing and architecting AI/Gen AI chatbot solutions, including determining the necessary features, user flow, API development and integration with other systems.

·        Developing and maintaining Generative AI solutions using AWS Bedrock and other AWS services as needed for specific AI solutions.

·        Implementing and tuning NLP techniques to improve chatbot’s understanding and response accuracy.

·        Training and deploying AI models.

·        Creating and utilizing Dashboards to monitor chatbot performance.

·        Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the chatbot context.

·        Designing conversational flows that provide a seamless and intuitive user experience. Strong focus on making the chatbot interactions as human-like and engaging as possible.

·        Analyzing chatbot interaction data to identify patterns, trends, and areas for improvement. Preparing reports on chatbot performance metrics.

·        Identifying and resolving issues related to chatbot performance, including debugging and updating the system as necessary.

·        Ensuring the chatbot complies with data privacy laws and maintaining high standards of security, especially when handling sensitive user data.

·        Working effectively with cross-functional teams, including business analysts, UX designers, and project managers. Good communication skills are essential.

·        Collaborating effectively with AI Center of Excellence (CoE) sub-committee team members to incorporate established standards, adhere to CoE procedures, and ensure that solutions align with target architectures and technology roadmaps.

·        Planning, initiating, and leading proof-of-concept (POC) efforts to evaluate emerging technologies.

·        Technical writing using Word, PowerPoint, Visio, and SharePoint.

·        Writing effective Gen AI Prompts to ensure proper Gen AI output that meets the business need and aligns with State of Ohio and JFS Gen AI standards.

·        Creating Copilot plugins or custom copilots/agents using Copilot Studio.

·        Automating workflows with Power Automate and integrating AI-driven logic.

·        Building AI applications that retrieve and act on SharePoint, Teams, or Outlook data.

·        Integrating AI applications with Microsoft Graph and enterprise data sources.

·        Building proof-of-concept chatbots and agents that demonstrate business value.

·        Collaborating with governance teams to align with compliance measures.

Skills and Credentials:

·        Extensive knowledge of developing AI applications using Microsoft’s Bot Framework and Microsoft Copilot Studio. Familiarity with Azure services like Azure Bot Service, Azure AI Search, Azure AI Language Service, Azure Open AI, Graph API, Semantic Kernel, and Microsoft Copilot is very important.

·        Ability to integrate chatbots with various Microsoft services such as Outlook, SharePoint, Teams, etc., [DH1] and third-party APIs to enhance functionality.

·        Knowledge and experience with engineering effective Gen AI prompts, fine-tuning models, and implementing Retrieval Augmented Generation (RAG) approaches for Gen AI applications.

·        Ability to develop and maintain existing AI Virtual Assistant using Google CCAI Services, create and utilize Looker Dashboards for performance monitoring of implemented chatbots is needed.

·        Ability to develop and maintain Generative AI solutions using AWS Services ecosystem.

·        Strong programming skills in languages such as C#, .NET, JavaScript, and Python. Experience in developing, testing, and deploying chatbot applications.

·        Knowledge and experience with M365 solutions (SharePoint, Power Apps, Power Automate, Power BI, etc.).

·        Ability to support SharePoint 2016 On-Prem applications.

·        Ability to modernize SharePoint 2016 On-Prem applications to M365 technologies.

·        Ability to facilitate and lead discussions with business SME’s.

·        Ability to create and present Chatbot proposals and communicate both business and technical concepts.

·        Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives.

·        Experience in training and deploying AI models.

·        Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business.

·        Ability to establish and maintain a high-level of customer trust and confidence.

·        Ability to think critically and solve problems.

·        Strong consultative skills at a cross-functional level.

Experience

·        Bachelor's degree in Computer Science, Information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.

·        Five years of experience in IT, with 2 years SharePoint experience, five years .NET Developer experience.

·


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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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