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Flex Ai Chatbot Training 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 ...

About the role We're hiring a Lead, CS AI Content to own the content layer that powers Flex's AI ... Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including ...

Lead, CS AI Content

New York, NY · On-site

$92K - $115K/yr

Maintain version-controlled AI training content that is audit-ready and aligned with policy and ... Bonus: experience with chatbot authoring, AI evaluation, or support QA. Compensation Flex takes a ...

About the Role We're building a new function at Flex: the CX Product Business Partner (CXBP). This ... AI/chatbot workflows, Ops Dashboard changes, training, QA criteria, and BPO readiness * Evaluate ...

... AI/chatbot workflows, Ops Dashboard changes, training, QA criteria, and BPO readiness * Evaluate ... Flex utilizes a geographic pay differential based on a cost of labor index. If you are located ...

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 ...

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 ...

Why Flex needs YOU We're hiring a Director of Product for AI & Agentic Customer Support to own the ... training data requirements, latency and accuracy tradeoffs. You do not need to write the code; you ...

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Flex Ai Chatbot Training information

See salary details

$30.5K

$68.6K

$115.5K

How much do flex ai chatbot training jobs pay per year?

As of Jul 20, 2026, the average yearly pay for flex ai chatbot training in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flex AI Chatbot Trainer, and why are they important?

To thrive as a Flex AI Chatbot Trainer, you need a strong understanding of natural language processing, data annotation, and conversational design, often supported by experience in linguistics or computer science. Familiarity with annotation tools, chatbot platforms (like Dialogflow or Rasa), and basic scripting or coding is typically required. Attention to detail, problem-solving abilities, and clear communication are vital soft skills for accurately training and refining AI models. These skills ensure the development of effective, user-friendly chatbots that meet organizational needs and deliver high-quality conversational experiences.

What is the difference between Flex Ai Chatbot Training vs Customer Service Representative?

AspectFlex Ai Chatbot TrainingCustomer Service Representative
Required CredentialsBasic technical skills, training in AI/chatbot platformsHigh school diploma or equivalent, communication skills
Work EnvironmentRemote or office-based, technical and training-focusedCall centers, retail, or office settings, customer interaction
Industry UsageTech companies, AI service providersRetail, telecom, hospitality, various service sectors

Flex Ai Chatbot Training involves technical skills to develop and train chatbots, focusing on AI platforms and programming. Customer Service Representatives handle direct customer interactions, providing support and information. While both roles require communication skills, chatbot training emphasizes technical knowledge, whereas customer service roles focus on interpersonal skills.

What is a Flex AI Chatbot Trainer?

A Flex AI Chatbot Trainer is a professional responsible for teaching and improving the performance of AI-powered chatbots. Their tasks often include reviewing chatbot conversations, labeling data, providing feedback, and helping to develop the chatbot’s ability to understand and respond to human language more accurately. This role is essential for ensuring that chatbots provide effective, natural, and helpful interactions with users. Flex AI Chatbot Trainers usually work with large datasets, follow specific guidelines, and collaborate with AI developers to enhance chatbot performance.

What are some common challenges faced when working as a Flex AI Chatbot Trainer, and how can they be addressed?

As a Flex AI Chatbot Trainer, one common challenge is ensuring the chatbot accurately understands and responds to a wide variety of user intents and phrasing. Trainers often need to continuously review chatbot conversations, identify gaps in understanding, and create or refine training data to improve accuracy. Collaborating closely with data scientists and developers is essential to address these challenges effectively. Staying updated with evolving user needs and maintaining consistent quality across different conversation scenarios also require strong attention to detail and adaptability.
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What cities are hiring for Flex Ai Chatbot Training jobs? Cities with the most Flex Ai Chatbot Training job openings:
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Infographic showing various Flex Ai Chatbot Training job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.
AI Chatbot Developer[Remote]

AI Chatbot Developer[Remote]

SmartIPlace

Columbus, OH • Remote

Contractor

Re-posted 8 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.

·


Smart-iPlace logo

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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