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Data Labelling Jobs in Wisconsin (NOW HIRING)

Deloitte

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109K - $147K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

KDV LABEL

Quality Engineer

Waukesha, WI · On-site

$65K - $84K/yr

KDV Label has production facilities in Waukesha, Wisconsin, Loveland, Colorado and Sugar Grove ... Analyze quality and test data using statistical methods to identify trends and improvement ...

KDV LABEL

Quality Engineer

Waukesha, WI · On-site

$65K - $84K/yr

KDV Label has production facilities in Waukesha, Wisconsin, Loveland, Colorado and Sugar Grove ... Analyze quality and test data using statistical methods to identify trends and improvement ...

Royal Basket Trucks

1st Shift Assembly

Darien, WI

$15.75 - $19.75/hr

... labeling and assembly from production schedule and/or Team Lead instructions * Perform self-inspection on his/her work, and inspect incoming materials received from outside vendors * Perform data ...

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Data Labelling information

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

How much do data labelers get paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

How can I get started in data labeling?

To start in data labeling, gain familiarity with common tools like labeling software and understand data annotation standards. Building attention to detail and basic knowledge of the data types you will label, such as images or text, is essential. Many entry-level roles require no formal certification but may prefer candidates with basic computer skills and the ability to follow detailed instructions.
What are the most commonly searched types of Data Labelling jobs in Wisconsin? The most popular types of Data Labelling jobs in Wisconsin are:
What are popular job titles related to Data Labelling jobs in Wisconsin? For Data Labelling jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Wisconsin look for? The top searched job categories for Data Labelling jobs in Wisconsin are:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Specialist - Wisconsin (US)

RWS TrainAI

Milwaukee, WI • On-site, Remote

Contractor

Re-posted 20 days ago

Job description

We are looking for AI Data Specialists to support the improvement of AI-generated content in English.
 
Job Type: Freelance
Location: Wisconsin, work from home
Work Schedule: Part-time - 10+ hours per week. Flexible - work when available
Start Date: Immediately
Duration: TBC
Rate: 15 USD/hour
 
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today's AI models?
 
What You'll Do
The role involves performing diverse data-related tasks, including:
 
- Data collection, evaluation, and annotation.
- Pairwise comparisons.
- Counting tasks.
- Object tagging and labeling across different content types (audio, video, images, or collected data)
 
What we're looking for:
- English Proficiency: Fluent or advanced proficiency in English (levels B2-C2)
- AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
 
What We Offer
- Flexible schedule
- Opportunity to earn extra income
- Timely payments
- The job is ideal for students, part-timers, or stay-at-home parents
 
#LI-PR15
Vendor Type
 
When applying, please select the option that best describes your working status.
 
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren't sure, you are probably a private individual.
 
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. 
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