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Remote Data Labeling Jobs in Madison, WI (NOW HIRING)

Remote Data Labeling information

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$10

$33

$74

How much do remote data labeling jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for remote data labeling in Madison, WI is $33.35, according to ZipRecruiter salary data. Most workers in this role earn between $16.57 and $45.05 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many remote data labeling jobs are paid per task or project, which can affect overall earnings, and some roles may require basic skills in data annotation tools or image/video labeling software.

How can I make 2000 a week working from home?

Remote data labeling jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the number of tasks completed. To make $2,000 weekly, you would need to consistently complete a high volume of labeled data, often requiring strong attention to detail and familiarity with labeling tools. Achieving this income level may also involve working multiple platforms or combining data labeling with other remote tasks.

How to make $1000 a week remote?

Remote data labeling jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the volume of work completed. To make $1000 weekly, you need to consistently complete a high number of labeled data sets, often requiring strong attention to detail and familiarity with labeling tools. Building a reputation and working with multiple platforms can help increase your income potential.

What are some common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

Is data labelling a good career?

Data labeling is a common entry-level role in the AI and machine learning industries, involving annotating data to train algorithms. It offers flexible schedules and requires attention to detail, but typically has lower pay and limited advancement opportunities compared to other tech roles.

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

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the most commonly searched types of Data Labeling jobs in Madison, WI? The most popular types of Data Labeling jobs in Madison, WI are:
What are popular job titles related to Remote Data Labeling jobs in Madison, WI? For Remote Data Labeling jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling jobs in Madison, WI look for? The top searched job categories for Remote Data Labeling jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Data Labeling jobs? Cities near Madison, WI with the most Remote Data Labeling job openings:
Infographic showing various Remote Data Labeling job openings in Madison, WI as of June 2026, with employment types broken down into 59% Full Time, 23% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,364 per year, or $33.3 per hour.
Senior Clinical Content Consultant - Pharmacist (autoimmune and inflammatory diseases)

Senior Clinical Content Consultant - Pharmacist (autoimmune and inflammatory diseases)

Wolters Kluwer

Madison, WI • Remote

$119K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Wolters Kluwer rating

8.8

Company rating: 8.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

33rd of 191 rated software companies


Job description

LOCATION: Remote U.S. locations

*** Please include your publications on your CV ***

OVERVIEW

You will participate in the development and maintenance of detailed and specialized clinical content to support proprietary domestic and international databases. You will ensure consistency with information curated by other Wolters Kluwer Health Products, and apply advanced clinical experience and knowledge of statistics, and research principles when evaluating and interpreting scientific literature and other evidence. You will couple clinical experience with synthesis of evidence to determine appropriate, meaningful inclusion of new information in referential or data-driven clinical decision support databases. You will assess and mitigate risks of drug therapy and clinical decision support based on knowledge of pharmacotherapy as well as disease/condition and patient-specific variables. You are responsible for creating and revising high quality drug information (referential/embedded) consistent with the format and structure of the databases as well as expected behavior of the data when coupled with software logic in Wolters Kluwer Health products. This includes participation in creation of rules and value sets as well as maintenance of and mapping to standard terminologies to support our expert solutions. A pharmacy or other clinical degrees are required; specialty is preferred.

RESPONSIBLITIES

  • Creates and maintains clinical content focused on autoimmune and inflammatory conditions, with emphasis on biologic and immunologic agents. Applies advanced clinical expertise to analyze and synthesize evidence from peer-reviewed literature, treatment guidelines, and product labeling. Expertise in rheumatology/dermatology and partners with other therapeutic area subject matter experts) to ensure disease-specific accuracy, while contributing across multiple therapeutic areas where treatments overlap.
  • Conducts peer review of content development (e.g., professional drug monographs, projects).
  • Maintains external expert consultant relationships to facilitate qualification and synthesis of content and provide expert opinion.
  • Participates in reconciliation of content across referential databases and other database maintenance projects.
  • Represents WKH-Clinical Solutions in a positive, professional, and customer-focused manner.
  • Applies clinical experience and knowledge of statistics, and research principles when evaluating and interpreting scientific literature and other evidence.
  • Couples clinical experience with synthesis of evidence to determine appropriate, meaningful inclusion of new information in referential or data-driven clinical decision support databases.
  • Assesses and mitigates risks of drug therapy and clinical decision support based on knowledge of pharmacotherapy as well as disease/condition and patient-specific variables.
  • Responsible for creating and revising high quality drug information (referential/embedded) consistent with the format and structure of the databases.
  • Participates/collaborates in the transformation and/or review of content transformed between referential sources and defined content structures for embedded datasets.
  • Submits work for collaborative peer review and responds appropriately to comments and feedback.
  • Critically, professionally, and thoroughly reviews the work of others to prompt improvements in clarity, consistency, accuracy, and accessibility to information across the spectrum of healthcare providers.
  • Understands the use of the data by customers and factors this awareness into decisions. Identifies and corrects omissions or quality issues in the content.
  • Participates in discussions on issues and identifies creative ways to solve problems and/or mitigate risks.
  • Assists with development and implementation of content updates with adherence to policies/procedures and best practices for high quality work.
  • Clearly articulates WKH policies and processes.
  • Achieves productivity by consistently meeting deadlines as defined in the Content Priority Policy and by meeting departmental and individual goals.
  • Maintains currency in practice domain as well as industry knowledge via reading, attendance at professional meetings/educational conferences, and other activities.
  • Develops and maintains professional relationships.
  • Shares information and expertise with colleagues at all levels of the organization. Participates in the process of new product development or enhancements.
  • Provides input for product design from a clinical perspective.
  • Participates in the design and enhancement of tools used to manage content.
  • Responds promptly to marketing and sales feedback (when appropriate) to introduce new information and/or concepts into the database.
  • Provides a high level of customer service by offering customer and client support on an as needed basis, as well as responds in a timely and accurate manner to queries regarding content.
  • Understands the needs and expectations of the assessment and validation of client problem.
  • Ensures quality responses (written and verbal) to customer inquiries.
  • Works with other departments and authors to improve data/products and their appeal to selected segments of the market as requested. Produces timely and accurate reports.
  • Participates in the collection of data regarding updates (source, nature of update, and timing of response/integration) and reliably maintains data in existing workflow tools.
  • Facilitates the documentation and reporting of quality issues per corporate policy.

QUALIFICATIONS

Education: Pharm.D.; specialty pharmacotherapy residency such as specialty pharmacy, rheumatology, autoimmune diseases.

Experience:

  • 7+ years including clinical practice experience in the areas of Immunology/rheumatology/dermatology.
  • PGY-2 Residency completion (eg, Ambulatory care)

Other Knowledge, Skills, Abilities or Certifications:

  • Pharmacy Licensein any U.S. jurisdiction
  • Board certification (e.g., BCPS) preferred
  • Certified Specialty Pharmacist (CSP) credential a plus
  • Proficient in Microsoft Office 365 suite

TRAVEL: 10 % to conferences; other may vary based on area of content development

#LI-Remote

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$144,500.00 - $258,300.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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