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Entry Level Data Annotation Tech Jobs in Wisconsin

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Tech Job ID 35447625 Job Title Radiologic Technologist Weekly Pay $1412.0 Shift Details Shift Night ... Ensures correct image identification and proper annotation. Reviews each study for technical ...

New

Web Developer - Entry Level

Madison, WI · On-site +1

$55K - $70K/yr

... their technology goals. Visit our website at www.hardindd.com and apply to join the Hardin Team ... A solid base-level understanding of basic algorithms and data structures, as well as how to ...

... their technology goals. Visit our website at www.hardindd.com and apply to join the Hardin Team ... A solid base-level understanding of basic algorithms and data structures, as well as how to ...

Web Developer - Entry Level

Madison, WI · On-site

$55K - $70K/yr

... their technology goals. Visit our website at www.hardindd.comand apply to join the Hardin Team ... A solid base-level understanding of basic algorithms and data structures, as well as how to ...

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Entry Level Data Annotation Tech information

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

What are some common challenges faced by Entry Level Data Annotation Techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

Can I use ChatGPT for data annotation?

Entry Level Data Annotation Technicians can use ChatGPT to assist with labeling and categorizing data, especially for text-based tasks. However, human oversight is essential to ensure accuracy and consistency, as AI tools may not fully understand context or nuances in complex data annotation projects.

What is an Entry Level Data Annotation Tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

Is it easy to get hired for data annotation?

Entry level data annotation jobs are generally accessible to beginners, as they often require minimal prior experience and focus on basic labeling skills. Employers typically look for attention to detail and the ability to follow instructions, and training is usually provided. Competition can vary depending on the platform and demand, but overall, these roles tend to have relatively straightforward hiring processes.

Can I do data annotation with no experience?

Entry level data annotation jobs typically do not require prior experience, as training is often provided to teach specific tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation tools and understanding data labeling standards can improve job performance and opportunities for advancement.

How to get into data annotation tech?

To get into data annotation tech, candidates typically need basic computer skills and attention to detail. Many entry-level roles require no formal degree, but familiarity with tools like labeling platforms and understanding data types can be helpful. Gaining experience through online tutorials or certifications in data labeling can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level Data Annotation Tech, and why are they important?

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.
What are the most commonly searched types of Data Annotation Tech jobs in Wisconsin? The most popular types of Data Annotation Tech jobs in Wisconsin are:
What are popular job titles related to Entry Level Data Annotation Tech jobs in Wisconsin? For Entry Level Data Annotation Tech jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Annotation Tech jobs in Wisconsin look for? The top searched job categories for Entry Level Data Annotation Tech jobs in Wisconsin are:
Infographic showing various Entry Level Data Annotation Tech job openings in Wisconsin as of June 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

AI/ML Data Contributor

TSMG

Milwaukee, WI

Full-time

Posted 23 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.