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Remote Ai Chatbot Training Jobs (NOW HIRING)

Teams Remote, however, if there are any meetings or workshops they can be asked to report to Rhodes ... Training and deploying AI models. · Creating and utilizing Dashboards to monitor chatbot ...

Princeton NJ/REMOTE Job Title: AI/Chatbot Developer Duration: 6 Month contract initially with likely extensions Expected Start Date: As soon as possible Sr. developers with experience in ...

Remote Duration: 6 months (possibility of an extension) Implementation Partner: Infosys End Client ... Experience with Amazon Lex and AI chatbot integrations * Ability to build intelligent workflows for ...

We offer cloud based Helpdesk, Live Chat and Enterprise AI Chatbot solution. We offer competitive ... Ability to do demos and great presentations using Remote Online Meetings or Webinars Ability to ...

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Support development teams on model selection, training pipelines, prompt engineering, fine tuning ...

We offer cloud based Helpdesk, Live Chat and Enterprise AI Chatbot solution. We offer competitive ... Ability to do demos and great presentations using Remote Online Meetings or Webinars Ability to ...

$128K - $154K/yr

... chatbot training and operational analytics. Opportunity to work on real-world projects that ... Spear AI * 401(k) with company match * Onsite / Remote / Flexible work arrangements or hybrid ...

Evaluate, refine, or create AI training content to boost model performance * Tackle intellectually ... Fully remote and flexible work--you control when and how much you work * A collaborative and global ...

Sr Analyst - Digital Enablement

Austin, TX · On-site +1

$85K - $143K/yr

Products include LPL's client facing conversational AI chatbot, generative AI search, in-product ... Provide training and change management support to internal stakeholders and advisors for new ...

Sr Analyst - Digital Enablement

Tempe, AZ · On-site +1

$85K - $143K/yr

Products include LPL's client facing conversational AI chatbot, generative AI search, in-product ... Provide training and change management support to internal stakeholders and advisors for new ...

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Remote Ai Chatbot Training information

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$30.5K

$68.6K

$115.5K

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

As of Jun 10, 2026, the average yearly pay for remote 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 Remote AI Chatbot Trainer, and why are they important?

To thrive as a Remote AI Chatbot Trainer, you need strong analytical thinking, attention to detail, and proficiency in language and communication, often supported by a relevant degree or experience in linguistics, data annotation, or AI-related fields. Familiarity with annotation platforms, chatbot development tools, and sometimes basic programming or machine learning concepts is typically required. Excellent communication, adaptability, and the ability to work autonomously are valuable soft skills in this role. These skills ensure the creation of accurate, effective training data and chatbot responses, which are crucial for improving AI performance and user satisfaction.

What is the difference between Remote Ai Chatbot Training vs Remote Data Annotation Specialist?

AspectRemote Ai Chatbot TrainingRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, training data knowledgeAttention to detail, familiarity with annotation tools
Work EnvironmentRemote, collaborative with AI teamsRemote, focused on data labeling tasks
Industry UsageAI development, chatbot creationMachine learning, data preparation
Common Search IntentTraining AI chatbots remotelyAnnotating data for AI models

Remote Ai Chatbot Training involves preparing AI models by training chatbots with relevant data, while Remote Data Annotation Specialists focus on labeling data to improve AI accuracy. Both roles are remote, require attention to detail, and support AI development, but they differ in specific tasks and focus areas.

What are some common challenges faced by professionals in remote AI chatbot training roles, and how can they be addressed?

One common challenge in remote AI chatbot training is ensuring consistent, high-quality data annotation, as clarity and precision are essential for well-functioning chatbots. Working remotely can also make collaboration and feedback loops with team members and developers more difficult. To address these challenges, it's important to establish clear annotation guidelines, utilize robust communication tools, and schedule regular check-ins for discussing edge cases and improving training quality. Being proactive in seeking feedback and staying updated on evolving AI standards will also help you succeed in this role.

Do you get paid for training AI chatbots?

Remote AI chatbot training jobs typically pay participants for their time and effort, as it involves providing feedback, correcting responses, or labeling data to improve AI performance. Compensation varies depending on the employer, platform, or project, and some roles may be paid hourly or per task. It is important to review the specific job listing to confirm payment details before participating.

What is a Remote AI Chatbot Trainer?

A Remote AI Chatbot Trainer is a professional who helps improve the performance and accuracy of artificial intelligence chatbots by providing training data, reviewing chatbot responses, and offering feedback on their interactions. They often work from home, evaluating conversations between users and chatbots to ensure the AI understands language, context, and intent correctly. The role may also involve labeling data, writing sample dialogues, and flagging inappropriate or incorrect responses. This helps the chatbot learn and adapt to real-world interactions, making it more effective for businesses and users.
More about Remote Ai Chatbot Training jobs
What cities are hiring for Remote Ai Chatbot Training jobs? Cities with the most Remote Ai Chatbot Training job openings:
What are the most commonly searched types of Ai Chatbot Training jobs? The most popular types of Ai Chatbot Training jobs are:
What states have the most Remote Ai Chatbot Training jobs? States with the most job openings for Remote Ai Chatbot Training jobs include:
AI Chatbot Developer[Remote]

AI Chatbot Developer[Remote]

SmartIPlace

Columbus, OH • Remote

Contractor

Posted 28 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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