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Remote Ai Chatbot Training Jobs in Michigan (NOW HIRING)

$111K - $146K/yr

This is not a pure research or model-training role. We are looking for someone who can build real ... Build and support chatbot, RAG, conversational AI, and model-connected application capabilities.

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Remote Ai Chatbot Training information

Is training AI chatbots a real job?

Yes, training AI chatbots is a legitimate job that involves providing high-quality data, feedback, and adjustments to improve chatbot responses. It often requires skills in data annotation, natural language processing, and familiarity with AI tools, and can be performed remotely or in-office depending on the employer.

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.

Are there remote jobs to train AI Chatbot Training?

Yes, remote AI chatbot training jobs are available and typically involve tasks such as data annotation, conversation testing, and providing feedback to improve chatbot responses. These roles often require strong communication skills, attention to detail, and familiarity with AI tools or platforms. They can be part-time or full-time and may require basic technical knowledge or experience with machine learning processes.

How to become a remote AI chatbot trainer?

To become a remote AI chatbot trainer, you typically need strong communication skills, familiarity with AI and machine learning concepts, and experience with data annotation or labeling. Many roles require a background in linguistics, computer science, or related fields, along with proficiency in tools used for data management and annotation. Building a portfolio of annotated datasets and staying updated on AI training techniques can improve job prospects.
What are popular job titles related to Remote Ai Chatbot Training jobs in Michigan? For Remote Ai Chatbot Training jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Ai Chatbot Training jobs in Michigan look for? The top searched job categories for Remote Ai Chatbot Training jobs in Michigan are:
What cities in Michigan are hiring for Remote Ai Chatbot Training jobs? Cities in Michigan with the most Remote Ai Chatbot Training job openings:
Infographic showing various Remote Ai Chatbot Training job openings in Michigan as of August 2026, with employment types broken down into 8% Internship, 31% Full Time, 33% Part Time, and 28% Contract. Highlights an 100% Remote job distribution.

$111K - $146K/yr

Full-time

Re-posted 3 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers


Job description

Are you passionate about building practical AI solutions that can scale in an enterprise environment?

At Corning, we are looking for a Sr. AI Engineer to help design, build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical Communications.

This role is part of our Digital & IT organization and is focused on applying AI through hands-on software engineering, application development, Python, APIs, LLM-enabled solutions, and enterprise integrations. This is not a pure research or model-training role. We are looking for someone who can build real, supportable AI solutions that can be used by business and technical users.

What will you do?

Design, build, test, implement, and support AI-enabled applications, tools, agents, automations, and integrations.

Develop Python-based solutions and work with APIs, JSON payloads, model integrations, and LLM-enabled workflows.

Partner with business and technical stakeholders to translate requirements into practical AI solutions.

Build and support chatbot, RAG, conversational AI, and model-connected application capabilities.

Contribute to application development efforts that make AI agents and tools easier for users to access and use.

Support solution quality through debugging, testing, documentation, troubleshooting, and post-deployment stabilization.

Help create reusable patterns, improve engineering practices, and mentor less experienced engineers when needed.

What do you need to have?

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.

4+ years of relevant experience in software engineering, AI engineering, application development, automation, integration development, or related technical solution delivery.

Strong hands-on experience with Python.

Experience working with APIs, JSON payloads, integrations, and application/service development.

Professional experience building or supporting AI-enabled applications, LLM-based solutions, chatbots, RAG solutions, agents, automations, or model-connected workflows.

Experience participating in technical projects within a company or business environment, not only personal experimentation with AI tools.

Strong understanding of software development fundamentals such as debugging, testing, version control, documentation, and maintainable coding practices.

Ability to communicate effectively with technical teams and business stakeholders.

Advanced English communication skills.

What would be a plus?

Experience with enterprise AI assistants, chatbot platforms, internal AI tools, or AI-enabled productivity platforms.

Experience with RAG, prompt engineering, agentic AI, orchestration patterns, or MCP development.

Experience with Databricks or Databricks Genie Spaces.

Experience with model-serving endpoints or managed AI services.

Experience with tools such as ChatGPT, Claude, Copilot, Codex, or similar AI-assisted development tools.

Cloud experience with Azure, AWS, or GCP.

Experience mentoring junior engineers or helping define reusable development patterns.

Experience in manufacturing technology, enterprise software, automation, workflow platforms, or internal productivity platforms.

What should we offer?

Opportunity to be part of a growing AI engineering team focused on practical enterprise AI solutions.

Exposure to modern AI technologies, LLM applications, agents, automation, chatbot/RAG solutions, and enterprise integrations.

A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office presence as needed.

Opportunity to influence how AI is adopted and scaled across Corning Optical Communications.

Career growth in AI engineering, technical leadership, enterprise application development, and AI platform enablement.

More about us

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.Come break through with us.Corning is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.


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