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Internship Data Annotation Analyst Jobs in Wisconsin

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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Internship Data Annotation Analyst information

What is the difference between Internship Data Annotation Analyst vs Data Labeling Specialist?

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

What are the most commonly searched types of Data Annotation Analyst jobs in Wisconsin? The most popular types of Data Annotation Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Internship Data Annotation Analyst jobs? Cities in Wisconsin with the most Internship Data Annotation Analyst job openings:
Internship Data Annotation Analyst jobs near you

AI/ML Data Contributor

TSMG

Milwaukee, WI • On-site

Full-time

Posted 11 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.