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Remote Chatbot Tester Jobs in Michigan (NOW HIRING)

Perform testing, debugging, documentation, troubleshooting, and post-deployment support ... chatbot/RAG solutions, and enterprise integrations. - A hybrid role based in Obispado, Monterrey ...

Automation Engineer 3

Detroit, MI · On-site +1

$70K - $154K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Applies automation development best practices, including error handling, testing, documentation ... Strong understanding of Microsoft Copilot Studio, including chatbot authoring, trigger phrases ...

Remote Chatbot Tester information

What is a remote chatbot tester?

Remote Chatbot Testers are professionals who evaluate and test chatbots from a remote location to ensure they function correctly and provide accurate, helpful responses to users. Their job involves interacting with chatbots, identifying bugs or issues, and providing feedback to improve the chatbot's performance and user experience. They may also create test cases, document errors, and collaborate with developers or AI teams. This role is often flexible and can be done from home, making it an attractive option for tech-savvy individuals interested in quality assurance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a remote chatbot tester?

To thrive as a Remote Chatbot Tester, you need a strong understanding of software testing principles, attention to detail, and familiarity with chatbot platforms, often supported by experience in QA or a related field. Knowledge of bug tracking systems, chatbot testing tools, and basic scripting or automation skills are typically utilized in this role. Excellent written communication, analytical thinking, and problem-solving abilities help testers effectively evaluate user interactions and report issues. These skills ensure chatbots deliver accurate, user-friendly experiences and function reliably across multiple scenarios.

What are some common challenges faced by remote chatbot testers, and how can they be addressed?

Remote Chatbot Testers often encounter challenges such as understanding the nuances of natural language processing and identifying subtle conversational errors in chatbots. Additionally, working remotely may require strong self-motivation and effective communication with development teams to report bugs and suggest improvements. Staying organized through detailed documentation and using collaborative tools helps testers communicate findings efficiently. Regularly updating knowledge of chatbot technologies and participating in team meetings can also enhance performance and integration with the wider project team.

What is the difference between Remote Chatbot Tester vs Remote Content Moderator?

AspectRemote Chatbot TesterRemote Content Moderator
Required CredentialsBasic computer skills, sometimes familiarity with AI or NLP toolsModeration experience, understanding of community guidelines
Work EnvironmentRemote, often flexible hours, testing AI chat systemsRemote, monitoring and reviewing user-generated content
Employer & Industry UsageTech companies, AI development firmsSocial media platforms, online communities, content platforms
Search & Comparison IntentYesYes

Remote Chatbot Testers focus on evaluating AI chat systems for accuracy and functionality, while Remote Content Moderators review user content to ensure compliance with guidelines. Both roles are remote, require basic tech skills, and are common in tech and online platforms. The main difference lies in their focus: testing AI interactions versus monitoring user-generated content.

What job categories do people searching Remote Chatbot Tester jobs in Michigan look for?

The top searched job categories for Remote Chatbot Tester jobs in Michigan are:

Full-time

Re-posted 9 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

89th of 540 rated manufacturers


Job description

Are you passionate about building practical AI solutions that can be used in real business environments?

At Corning, we are looking for an AI Engineer to help 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, Python development, APIs, LLM-enabled solutions, workflow automation, and enterprise integrations. This is not a pure research or model-training role. We are looking for someone who is curious, hands-on, coachable, and excited to grow in enterprise AI engineering.

What will you do?


-  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.
-  Support CorningGPT integrations, AI assistant tools, chatbot-style workflows, and internal AI capabilities.
-  Assist with MCP development, Databricks workflows, and Databricks Genie Spaces use cases.
-  Partner with technical team members and business stakeholders to understand requirements and translate them into working solutions.
-  Help create user-friendly applications and interfaces for AI agents and tools.
Perform testing, debugging, documentation, troubleshooting, and post-deployment support.
-  Contribute to continuous improvement by helping create reusable patterns, cleaner documentation, and more maintainable solutions.

What do you need to have?


-  Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.
-  1–3 years of relevant experience in software engineering, AI engineering, application development, automation, integration development, or related technical solution delivery.
-  Hands-on experience with Python.
-  Familiarity working with APIs, JSON payloads, structured data, integrations, or application logic.
-  Familiarity with LLM-based applications, chatbots, AI-assisted workflows, or generative AI tools.
-  Experience building applications, automations, internal tools, scripts, integrations, or technical projects.
-  Basic understanding of software development fundamentals such as debugging, testing, version control, documentation, and maintainable coding practices.
-  Ability to learn quickly and work with guidance from senior technical team members.
-  Strong communication and collaboration skills.
-  Advanced English communication skills.


What should we offer?


-  Opportunity to join 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 learn from senior engineers and grow into more advanced AI engineering responsibilities.
-  Career growth in AI engineering, application development, enterprise integrations, 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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