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Chatbot Support Jobs in Wisconsin (NOW HIRING)

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions) * Bachelor's degree in computer science, Information Systems, or ...

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions) Qualifications * Bachelor's degree in computer science, Information ...

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions) Qualifications * Bachelor's degree in computer science, Information ...

This critical role supports a multi‑segment commercial model spanning CLIA LDT, pharma CRO ... Select and deploy an integrated telephony platform and AI chatbot for triage and first‑touch ...

Senior Data Scientist

Milwaukee, WI · On-site

$120 - $180/hr

... support reliable agent tool integration The Essentials - You Will Have * Bachelor's Degree in ... Direct experience building datasets and evaluation pipelines for conversational AI, chatbot, or ...

... support reliable agent tool integration The Essentials - You Will Have: * Bachelor's Degree in ... chatbot, or agent systems Understanding of how predictive model outputs (scores, probabilitie What ...

Chatbot Support information

See Wisconsin salary details

$16

$40

$68

How much do chatbot support jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for chatbot support in Wisconsin is $40.24, according to ZipRecruiter salary data. Most workers in this role earn between $29.86 and $47.07 per hour, depending on experience, location, and employer.

What does a chatbot support do?

As a Chatbot Support professional, you will spend your day monitoring chatbot conversations, troubleshooting user issues, and escalating complex queries to human agents when necessary. You'll also analyze conversation logs to identify recurring problems, update knowledge base articles, and suggest improvements for better user experience. Collaborating closely with technical teams and customer service departments is common to ensure seamless chatbot performance. This role offers a dynamic work environment where your contributions can have a direct impact on customer satisfaction and the continuous improvement of automated support systems.

What are the key skills and qualifications needed to thrive in chatbot support?

To thrive as a Chatbot Support professional, you need strong written communication skills, problem-solving abilities, and familiarity with customer service protocols. Experience with chatbot management platforms, CRM systems, and basic knowledge of troubleshooting chat solutions is often required. Patience, adaptability, and a customer-focused mindset help individuals excel in this role. These skills are crucial for ensuring efficient and effective support to users interacting with automated systems while maintaining high customer satisfaction.

What is a chatbot support?

A Chatbot Support job involves managing and optimizing chatbot interactions to assist users efficiently. Responsibilities typically include troubleshooting chatbot issues, refining responses, and improving user experience. This role may also involve analyzing chatbot performance data and collaborating with developers to enhance functionality. Strong communication skills and familiarity with AI or NLP technologies can be beneficial.

What are popular job titles related to Chatbot Support jobs in Wisconsin? For Chatbot Support jobs in Wisconsin, the most frequently searched job titles are:
Infographic showing various Chatbot Support job openings in Wisconsin as of August 2026, with employment types broken down into 65% Full Time, 12% Part Time, 5% Temporary, and 18% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $83,706 per year, or $40.2 per hour.

Full-time

Re-posted 14 days ago


Snap-on rating

7.4

Company rating: 7.4 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

286th of 487 rated machine equipment manufacturers


Job description

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and troubleshoot modern web applications built on an Azure and SQL-based stack. This role is ideal for someone who enjoys digging into application issues, working with data, and exploring emerging tools like AI agents to improve support operations.


  • Troubleshoot and resolve issues across web applications, APIs, and backend services
  • Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
  • Manage and prioritize support queues based on severity, impact, and SLAs
  • Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
  • Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
  • Document issues and translate findings into well-structured bug reports, user stories, or functional specs
  • Assist in validating bug fixes and supporting release testing
  • Contribute knowledge base articles and support playbooks
  • Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)

  • Bachelor’s degree in computer science, Information Systems, or related field (or equivalent practical experience)
  • Strong foundational SQL skills (queries, joins, basic performance awareness)
  • Understanding of web application architecture (frontend, backend, APIs)
  • Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
  • Ability to troubleshoot issues using logs, error messages, and system behavior
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks in a queue-driven support environment
  • Clear communication skills for both technical and non-technical audiences

Preferred Qualifications

  • Exposure to JavaScript-based web applications or REST APIs
  • Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
  • Familiarity with ticketing systems (Jira)
  • Basic understanding of Agile, product management, or business analysis practices
  • Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
  • Experience writing bug reports, acceptance criteria, or functional specifications

Key Competencies

  • Structured problem-solving and root cause analysis
  • Ability to translate issues into actionable technical and functional requirements
  • Ownership mindset with attention to detail
  • Curiosity and willingness to experiment with AI-driven support improvements
  • Strong collaboration across engineering, product, and support teams

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