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Data Tagging Jobs in Wisconsin (NOW HIRING)

Shine United

Data Analyst

Madison, WI

Maintain documentation of measurement frameworks and tagging structures. Strategic Collaboration * Partner with account service to align data insights with client KPIs and business objectives.

Shine United

Data Analyst

Madison, WI

Maintain documentation of measurement frameworks and tagging structures. Strategic Collaboration * Partner with account service to align data insights with client KPIs and business objectives.

Shine United

Data Analyst

Madison, WI · On-site

Maintain documentation of measurement frameworks and tagging structures. Strategic Collaboration * Partner with account service to align data insights with client KPIs and business objectives.

Nemak

Production Supervisor

Sheboygan, WI · On-site

Use data and on the floor monitoring to report machine status, concerns, audit results, and ... Responsible for production containments, identification, organization, tagging, and flow. Upon ...

KOHLS

Merchandise Specialist

Menomonee Falls, WI · On-site

... Data Interchange (EDI) of orders * Create, maintain and submit purchase orders for processing ... Manage Buying Office samples (including tagging, organizing and purging) for advertising, marketing ...

Rosen Nissan Madison

Full Time Receptionist

Madison, WI

$15.75 - $21/hr

Accepting new vehicles into inventory which included tagging keys, entering data into appropriate inventory systems and accounting entries. * Process dealer trade paperwork and submit to corporate ...

Rosen Nissan Madison

Full Time Receptionist

Madison, WI

$15.75 - $21/hr

Accepting new vehicles into inventory which included tagging keys, entering data into appropriate inventory systems and accounting entries. * Process dealer trade paperwork and submit to corporate ...

Rosen Nissan Madison

Full Time Receptionist

Madison, WI · On-site

$15.75 - $21/hr

Accepting new vehicles into inventory which included tagging keys, entering data into appropriate inventory systems and accounting entries. * Process dealer trade paperwork and submit to corporate ...

Rosen Nissan Madison

Full Time Receptionist

Madison, WI

$15.75 - $21/hr

Accepting new vehicles into inventory which included tagging keys, entering data into appropriate inventory systems and accounting entries. * Process dealer trade paperwork and submit to corporate ...

Rosen Nissan Madison

Full Time Receptionist

Madison, WI

$15.75 - $21/hr

Accepting new vehicles into inventory which included tagging keys, entering data into appropriate inventory systems and accounting entries. * Process dealer trade paperwork and submit to corporate ...

Rosen Nissan Madison

Full Time Receptionist

Madison, WI · On-site

$15.75 - $21/hr

Accepting new vehicles into inventory which included tagging keys, entering data into appropriate inventory systems and accounting entries. * Process dealer trade paperwork and submit to corporate ...

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All JobsData Tagging JobsData Tagging Jobs in Wisconsin

Data Tagging information

See Wisconsin salary details

$55.5K

$100.2K

$136.8K

How much do data tagging jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data tagging in Wisconsin is $100,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $109,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working in Data Tagging?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

How to make $1000 a week remote?

Data tagging jobs can offer remote work opportunities that, with consistent effort and high-volume tasks, potentially generate around $1000 weekly. Success depends on the number of tasks completed, accuracy, and the pay rate per task, which varies by platform and employer. Building skills in data annotation tools and maintaining quality standards can improve earning potential.

What is a data tagging job?

A data tagging job involves labeling or annotating data such as images, videos, text, or audio to help machine learning models understand and process information. Workers typically use specialized tools to add tags, which can include identifying objects, categorizing content, or transcribing data, often working remotely with flexible schedules.

Is data labelling a good career?

Data tagging 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 offer steady work and opportunities to develop skills in data management and AI, but typically has limited advancement without additional training or experience. Overall, it can be a suitable starting point for those interested in data-related fields.

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

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What is a Data Tagging job?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

Do data entry jobs really pay?

Data entry jobs typically pay hourly wages that can range from minimum wage to higher rates depending on experience and complexity of tasks. Many positions offer part-time or flexible schedules, and pay can vary based on the employer, location, and required skills such as typing speed and accuracy.
What are popular job titles related to Data Tagging jobs in Wisconsin? For Data Tagging jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Tagging jobs in Wisconsin look for? The top searched job categories for Data Tagging jobs in Wisconsin are:
Data Tagging jobs near you
Infographic showing various Data Tagging job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,159 per year, or $48.2 per hour.
Data Analyst

Data Analyst

Shine United

Madison, WI

Full-time

Medical, Dental, Life, Retirement

Posted 19 days ago

Job description

POSITION OVERVIEW: You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them.


You're comfortable in the numbers, but you don't live there. You live in the "what does it mean" - the insights that turn performance data into a recommendation clients can actually act on. You're as fluent in measurement frameworks as you are in a strategy conversation, and you know how to make complex analysis feel clear without making it simple.


As a Data Analyst, you'll work within our Media department as a key partner to the Director of Digital Media, Account Service, and creative teams. You'll analyze cross-channel performance data, identify trends and opportunities, guide measurement frameworks, and support the tracking and reporting solutions that give clients a smarter picture of what's working - and why.


If you're an analytical mind with strategic instincts who wants to put them to work somewhere that values both, let's talk.


KEY RESPONSIBILITIES:

Data Analysis, Reporting & Insights

  • Collaborate with media team members to design and maintain automated dashboards (e.g., TapClicks, NinjaCat, Google Data Studio) that clearly communicate performance, insights and opportunities to internal teams and clients.
  • Analyze performance data across paid media channels (search, social, programmatic, etc.), owned channels (email, social, etc.), and web analytics platforms.
  • Develop insights that drive campaign optimization, budget allocation, audience strategy, and creative testing strategy.
  • Identify trends, performance anomalies, and growth opportunities.


Measurement & Tracking Implementation

  • Collaborate with Shine's in-house web development team and client teams to implement and validate tracking solutions (GA4, GTM, media platform pixels, conversion APIs, server-side analytics platforms, etc.).
  • Ensure proper data collection architecture across client websites and landing pages.
  • Troubleshoot data discrepancies and tracking issues.
  • Maintain documentation of measurement frameworks and tagging structures.


Strategic Collaboration

  • Partner with account service to align data insights with client KPIs and business objectives.
  • Support development of test-and-learn agendas, measurement plans, and quarterly business reviews.


QUALIFICATIONS:

Required:

  • 3-5+ years of experience in digital marketing analytics, media analytics, or a similar role (agency experience preferred).
  • Strong proficiency in web analytics platforms (GA4 required).
  • Experience with tag management systems (Google Tag Manager preferred).
  • Experience with data visualization tools (TapClicks preferred).
  • Working knowledge of paid media platforms (Google Ads, Meta, LinkedIn, programmatic DSPs) and corresponding conversion APIs where applicable.
  • Ability to synthesize data into clear, actionable insights for non-technical audiences.
  • Understanding of attribution models and incrementality testing.
  • Experience with server-side analytics platforms.
  • Exposure to marketing mix modeling or advanced analytics frameworks.


Preferred:

  • Experience with SQL and/or Python for data analysis, including implementation of Meridian
  • Familiarity with CRM data integration and customer journey analysis.


COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and disability insurance (for individuals and families), 401k program, paid downtown parking, paid home internet access, and more.


ABOUT SHINE UNITED: Shine United is a $51 million advertising, design and digital agency located in America's Heartland - Madison, Wisconsin. Best known for its innovative brand positioning and creative firepower, Shine has been tapped by brands like Harley-Davidson, Mizuno Running, Discover Card, Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine was named one of the best small agencies in the country by One.A.Magazine, and one of the best places to work in the country by Outside Magazine. Shine's work has been featured in Communication Arts, Print, Graphis, AdAge and The New York Times. Learn more at ShineUnited.com.


#ShineOn


Shine United is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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