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Internship 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 ...

AI Data Support Associate

San Diego, CA

$62K - $63K/yr

... review, software testing support, AI chatbot evaluation, backend data organization, and ... Prior internship, academic project, or related experience in software testing, data review ...

... review, software testing support, AI chatbot evaluation, backend data organization, and ... Prior internship, academic project, or related experience in software testing, data review ...

AI Data Support Associate

San Diego, CA · On-site

$62K - $63K/yr

... review, software testing support, AI chatbot evaluation, backend data organization, and ... Prior internship, academic project, or related experience in software testing, data review ...

... review, software testing support, AI chatbot evaluation, backend data organization, and ... Prior internship, academic project, or related experience in software testing, data review ...

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 ...

Own the CS workstream end-to-end for launches in your domain: content, AI/chatbot workflows, Ops Dashboard changes, training, QA criteria, and BPO readiness * Evaluate readiness to move from pilot to ...

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Internship Ai Chatbot Trainer information

What are Internship AI Chatbot Trainers?

Internship AI Chatbot Trainers are individuals, typically students or recent graduates, who assist in training and improving artificial intelligence chatbots during an internship. Their responsibilities often include annotating data, testing chatbot responses, providing feedback on language and accuracy, and helping refine the chatbot's conversational abilities. This role offers hands-on experience in natural language processing, machine learning, and AI development, making it a valuable entry point for those interested in AI and technology careers.

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

To thrive as an Internship AI Chatbot Trainer, you typically need a background in computer science, linguistics, or a related field, along with analytical thinking and strong written communication skills. Familiarity with AI platforms, natural language processing (NLP) tools, and annotation systems is often required, and experience with Python or similar scripting languages can be beneficial. Attention to detail, adaptability, and effective teamwork are crucial soft skills for refining chatbot responses and collaborating with development teams. These competencies ensure that chatbot models are accurately trained, continuously improved, and able to provide a high-quality user experience.

What is the difference between Internship Ai Chatbot Trainer vs AI Content Moderator?

AspectInternship Ai Chatbot TrainerAI Content Moderator
Required CredentialsBasic knowledge of AI, machine learning, or related fields; often an internship or entry-levelUnderstanding of content policies, communication skills; often entry-level
Work EnvironmentTech companies, remote or office-based, focused on AI trainingSocial media platforms, online communities, remote or office-based
Employer & Industry UsageAI development firms, tech startups, e-commerceSocial media companies, online platforms, content providers

Internship Ai Chatbot Trainers focus on training AI chatbots by providing data and feedback, often during internships. AI Content Moderators review and manage user-generated content to ensure compliance with policies. While both roles require understanding of online content and technology, chatbot trainers are more involved in AI development, whereas content moderators focus on content oversight.

What are the typical responsibilities of an AI Chatbot Trainer intern, and how do they contribute to the development of chatbot technologies?

As an AI Chatbot Trainer intern, you will primarily be responsible for annotating and curating conversational data, crafting user prompts, and reviewing chatbot responses to ensure accuracy and relevance. Your feedback helps improve the language model's understanding and ability to interact naturally with users. Interns often collaborate closely with data scientists, engineers, and product teams to refine chatbot behavior and identify areas for improvement. This role provides hands-on experience with natural language processing (NLP) technologies and offers valuable insight into how AI systems learn from human input.
What cities are hiring for Internship Ai Chatbot Trainer jobs? Cities with the most Internship Ai Chatbot Trainer job openings:
What are the most commonly searched types of Ai Chatbot Trainer jobs? The most popular types of Ai Chatbot Trainer jobs are:
What states have the most Internship Ai Chatbot Trainer jobs? States with the most job openings for Internship Ai Chatbot Trainer jobs include:
What job categories do people searching Internship Ai Chatbot Trainer jobs look for? The top searched job categories for Internship Ai Chatbot Trainer jobs are:
AI Chatbot Developer[Remote]

AI Chatbot Developer[Remote]

SmartIPlace

Columbus, OH • Remote

Contractor

Re-posted 9 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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