ZipRecruiter

Log In

1

Data Annotation Jobs in Wisconsin (NOW HIRING)

next page

Showing results 1-20

All JobsData Annotation JobsData Annotation Jobs in Wisconsin

Data Annotation information

See Wisconsin salary details

$8

$23

$49

How much do data annotation jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data annotation in Wisconsin is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $27.44 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in Wisconsin? The most popular types of Data Annotation jobs in Wisconsin are:
What are popular job titles related to Data Annotation jobs in Wisconsin? For Data Annotation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Wisconsin look for? The top searched job categories for Data Annotation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Annotation jobs? Cities in Wisconsin with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Wisconsin as of July 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,929 per year, or $23 per hour.
Remote Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Jefferson, WI • On-site

$50 - $60/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.   We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.   In this role, you might: Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. Share clear, structured feedback to help make each new version of the AI smarter and more reliable.   To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.   Advantages of contracting with us: You'll be able to choose which projects you want to work on and when You work on your own schedule, on your own computer, from the comfort of your own home Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects   Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance   Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Master's and/or PhD is preferred but not required   Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.  

Apply