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Entry Level Data Annotation Tech Jobs in Wisconsin

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

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

TDS Telecom

Entry Level Sales Representative

Wausau, WI · On-site

$100K/yr

You're not just selling-you're shaping how people experience technology. Want to see what a Day in ... voice, data, and television services within your assigned territory. * Conduct sales calls

TDS Telecom

Entry Level Sales Representative

Wausau, WI · On-site

$100K/yr

You're not just selling-you're shaping how people experience technology. Want to see what a Day in ... voice, data, and television services within your assigned territory. * Conduct sales calls

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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:
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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:
Entry Level Data Annotation Tech jobs near you
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.
Quality Control Technician - Entry Level

Quality Control Technician - Entry Level

Adecco

Burlington, WI • On-site

$28/hr

Other

Posted 11 days ago

Job description

Quality Tech– $28/hr | Burlington, WI

Looking to get your foot in the door with a top-tier food manufacturer? We’re hiring entry-level Quality Control Technicians to support food safety and production quality in a fast-paced environment. This is a great opportunity to gain hands-on lab and manufacturing experience with a well-known, world-class company.

Pay starts at $28/hour, with paid training on 1st shift (Monday–Friday for 3–4 weeks). After training, openings are on:

  • 2nd Shift: Tuesday–Saturday, 3:00 PM – 12:00 AM

  • 3rd Shift: Tuesday–Saturday, 11:00 PM – 8:00 AM

In this role, you’ll be responsible for swabbing equipment during production runs to ensure food safety standards are met, even during extended operations. You’ll collect, process, and ship samples, track and enter data, and help monitor results to keep production running safely. You’ll also support X-ray checks by reviewing product kickoffs, performing washouts, and reporting findings, along with assisting in basic lab-related tasks.

This role requires strong attention to detail, comfort working with data, and the ability to stay organized in a fast-paced setting.