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Data Labeler Remote Jobs in Georgia (NOW HIRING)

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Data Labeler Remote information

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to more specialized roles. Many professionals use it as initial experience before moving into data science or related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often 40 hours or more, and gaining experience or specializing in high-demand data annotation tasks. Increasing earnings may involve working for multiple clients, improving skills with annotation tools, or taking on higher-paying projects, but consistent high weekly income depends on workload, rates, and efficiency.

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

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

How much are data labelers paid?

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

Is data labeling work from home?

Data labelers often work remotely, as the job typically involves reviewing and annotating data using a computer and internet connection. Many companies offer remote data labeling positions with flexible schedules, requiring basic computer skills and attention to detail.
What are the most commonly searched types of Data Labeler jobs in Georgia? The most popular types of Data Labeler jobs in Georgia are:
What job categories do people searching Data Labeler Remote jobs in Georgia look for? The top searched job categories for Data Labeler Remote jobs in Georgia are:
What cities in Georgia are hiring for Data Labeler Remote jobs? Cities in Georgia with the most Data Labeler Remote job openings:
Infographic showing various Data Labeler Remote job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Clinical Content Consultant - Pharmacist (autoimmune and inflammatory diseases)

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

Wolters Kluwer

Kennesaw, GA • Remote

$109K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 1 hour ago


Wolters Kluwer rating

8.7

Company rating: 8.7 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 204 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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