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Internship Ai Data Collection Jobs in Wisconsin (NOW HIRING)

Documents field observations and supports data collection and reporting * Performs other field or ... At least one internship with ECS or another firm * Must be pursuing an Associate, Bachelor, or ...

Documents field observations and supports data collection and reporting * Performs other field or ... At least one internship with ECS or another firm * Must be pursuing an Associate, Bachelor, or ...

Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases ... Translating business requirements; informing data/information needs and data collection methods

WI · On-site

$98 - $139/hr

We're building the first Data & AI performance monitoring platform that spans data collection to automated decision-making. Soda helps customers find, understand, and fix data quality issues by ...

Posted today

Data Analysis Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Showing results 21-40

Internship Ai Data Collection information

What is the difference between Internship Ai Data Collection vs Data Analyst Intern?

AspectInternship Ai Data CollectionData Analyst Intern
Required CredentialsBasic knowledge of AI, data collection tools, and programmingBasic statistics, Excel, and data analysis skills
Work EnvironmentData collection, labeling, and preprocessing in tech or AI companiesData analysis, reporting, and visualization in various industries
Employer & Industry UsagePrimarily in AI, machine learning, and tech startupsAcross finance, marketing, healthcare, and tech sectors

Internship Ai Data Collection focuses on gathering and preparing data for AI models, while Data Analyst Interns analyze and interpret data to support business decisions. Both roles require foundational data skills but differ in their core activities and industry applications.

What is an internship in AI data collection?

An Internship in AI Data Collection is a temporary, entry-level position where interns assist in gathering, organizing, and labeling data used to train artificial intelligence models. Interns may work with various data types, such as images, text, or audio, and help ensure data accuracy and quality. This role is essential in the AI development process, as high-quality data is crucial for building effective AI systems. Interns also gain hands-on experience with data management tools and learn about the ethical considerations of data handling.

What types of tasks can I expect to handle during an AI data collection internship?

As an AI Data Collection intern, you will typically work on gathering, labeling, and organizing large datasets that are used to train machine learning models. Your daily responsibilities may include annotating images or text, validating data quality, and assisting with data pre-processing tasks. You may also collaborate with data scientists and engineers to ensure data accuracy and integrity, and gain exposure to tools and processes commonly used in the AI industry. This hands-on experience is valuable for understanding the foundations of AI development and can open doors to more advanced roles in data science or machine learning.

What are the key skills and qualifications needed to thrive as an internship AI data collection specialist?

To thrive in an Internship AI Data Collection role, you need strong analytical skills, attention to detail, and foundational knowledge in data management or computer science. Familiarity with data labeling tools, spreadsheets, and possibly Python or SQL is beneficial, along with any coursework or certifications in data science or AI. Strong communication, organization, and problem-solving abilities help interns efficiently collaborate and ensure data accuracy. These skills are vital for producing high-quality datasets that enable effective AI model training and development.
What are the most commonly searched types of Ai Data Collection jobs in Wisconsin? The most popular types of Ai Data Collection jobs in Wisconsin are:
What are popular job titles related to Internship Ai Data Collection jobs in Wisconsin? For Internship Ai Data Collection jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Internship Ai Data Collection jobs in Wisconsin look for? The top searched job categories for Internship Ai Data Collection jobs in Wisconsin are:
What cities in Wisconsin are hiring for Internship Ai Data Collection jobs? Cities in Wisconsin with the most Internship Ai Data Collection job openings:
Infographic showing various Internship Ai Data Collection job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director, AI Enablement and Innovation (Madison)

UKG (Ultimate Kronos Group)

Madison, WI • On-site

$234K - $245K/yr

Full-time

Posted 6 days ago


UKG rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

107th of 242 rated software companies


Job description

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About the Role:

Lead innovation and knowledge strategy for CX (Customer Experience) Learning & Enablement by defining knowledge architecture, implementing AI and workflow intelligence solutions, and driving automation across the content lifecycle. Combine product, data and learning expertise to deliver modern, searchable, and integrated knowledge experiences that reduce friction for learners, support agents and partners.

Core Responsibilities:
  • Define and own the knowledge architecture and taxonomy strategy for CX learning and enablement content (including canonical content models, metadata standards, and governance).

  • Design and implement generative AI/RAG solutions, intelligent search, conversational assistants, and contextual learning surfaces that integrate with product workflows and frontline tools.

  • Own strategy and execution for content lifecycle automation and integrations (CMS LMS KM product docs translation pipelines), improving authoring, review, and publishing velocity.

  • Act as technical product owner for integrations and tooling (content APIs, search, knowledge base platforms, LLM infra), coordinate with Product Engineering and P&E for secure, scalable deployments.

  • Drive experimentation and pilot programs to validate AI/automation use cases (e.g., auto-summary, auto-tagging, content recommendations, test generation). Evaluate vendors and open-source approaches; manage POC lifecycle.

  • Implement measurement frameworks for knowledge efficacy: search success, answer relevance, RAG precision/recall, content reuse, time to publish, and impact on case deflection and support outcomes.

  • Build data governance practices for content/AI (bias, privacy, provenance, feedback loops).

  • Collaborate with Curriculum Development, Learning Business Partners, Adoption & Value, and Support to ensure innovation projects map to clear business outcomes.

Basic Qualifications:
  • 8+ years’ experience in knowledge management, product/technical program management, or AI/data product roles with at least 3+ years leading teams or programs.

  • Practical experience deploying enterprise AI/search/KM solutions (LLM/RAG, vector search, knowledge graphs, conversational AI) and implementing integrations between LMS/CMS/KM systems.

  • Strong technical literacy: APIs, data modeling, metadata/taxonomy design, and vendor evaluation for AI/KM tooling.

  • Experience working with engineering/product teams to bring technical solutions to production.

Preferred Qualifications:
  • Bachelor’s degree in technical field, information science, or equivalent experience.

  • Hands-on experience with LLMs, vector databases, RAG approaches, and tools

  • Experience in SaaS/HR tech or with support and digital adoption use cases.

  • Familiarity with content localization pipelines and enterprise taxonomy management.

  • Advanced degree in information science, AI, or related field.

Competencies:

Technical product leadership, innovation & experimentation, systems thinking, data-driven decision making, stakeholder influence across technical and non-technical partners, risk and governance orientation.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer:

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)

UKG participates in E-Verify. View the E-Verify posters here (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) .

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Disability Accommodation in the Application and Interview Process:

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com .

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

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