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Freelance Data Labeling Jobs in Virginia (NOW HIRING)

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated ...

Posted today

Freelance Data Labeling information

What is freelance data labeling?

Freelance data labeling involves annotating or tagging data, such as images, text, or audio, to prepare it for use in machine learning and artificial intelligence projects. As a freelancer, you may work with companies or platforms that need large amounts of accurately labeled data to train their algorithms. Tasks can include identifying objects in photos, transcribing audio, or categorizing text. This work is typically remote and flexible, making it suitable for individuals seeking part-time or project-based opportunities.

What are the key skills and qualifications needed to thrive as a freelance data labeler, and why are they important?

To thrive as a Freelance Data Labeler, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and sometimes knowledge of basic coding or spreadsheet software is beneficial. Reliability, time management, and effective communication are crucial soft skills for meeting deadlines and collaborating with remote teams or clients. These skills ensure the accurate and efficient preparation of high-quality labeled data, which is essential for training reliable machine learning models.

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

Freelance data labelers often encounter challenges such as repetitive tasks, tight deadlines, and varying quality standards between clients. Managing these challenges involves maintaining clear communication with clients about expectations, using productivity tools to track progress, and regularly reviewing guidelines to ensure accuracy. Additionally, taking short breaks and organizing tasks can help prevent fatigue and maintain high-quality output. Building a network with other labelers can also provide support and tips for handling complex projects.

What is the difference between Freelance Data Labeling vs Data Annotation Specialist?

AspectFreelance Data LabelingData Annotation Specialist
CredentialsNo formal credentials required; experience and skills matterOften requires knowledge of annotation tools and sometimes certifications
Work EnvironmentRemote, flexible, project-basedTypically employed by companies, may work remotely or on-site
Employer & Industry UsageFreelance platforms, AI and machine learning projectsTech companies, research institutions, AI firms

Freelance Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and diverse projects. Data Annotation Specialists are often employed by organizations to perform detailed annotation work, sometimes requiring specific certifications. Both roles support AI development but differ mainly in employment structure and credentials.

What are the most commonly searched types of Data Labeling jobs in Virginia?

The most popular types of Data Labeling jobs in Virginia are:

What job categories do people searching Freelance Data Labeling jobs in Virginia look for?

The top searched job categories for Freelance Data Labeling jobs in Virginia are:

What cities in Virginia are hiring for Freelance Data Labeling jobs?

Cities in Virginia with the most Freelance Data Labeling job openings:

Infographic showing various Freelance Data Labeling job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

English AI Maps Trainer

Welo Data

Appomattox, VA • Remote

$20.30/hr

Part-time

Posted 18 hours ago

Posted today


Job description

Job Description:

What if your knowledge English language could help improve the AI.  
   

WHAT YOU’LL DO  

  • Evaluate the aesthetic quality, readability, and overall polish of digital map designs.
  • Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance.
  • Review personalized location recommendations to ensure relevance and helpfulness.
  • Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., “Icons not properly masked,” “Labels too small”).
     

YOU ARE A FIT IF YOU…  

  • Have an eye for artistic detail and intuitive design
  • Think critically about spatial accuracy, relevance, and context
  • Care about delivering polished and helpful digital experiences
     

Requirements: 

  • To be located and have the right to work in the United States.
  • An existing, actively used Gmail account with prior usage history on Google Maps.
  • Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you.

PROJECT DETAILS  

·       Job Title: Maps Visual Design Relevance Evaluator - English (US)

·       Contract type: Freelance

·       Hourly rate: US$20.30

·       Language: English (US)

·       Location: Remote

·       Estimated volume: 8 - 10 hours

·       Start date: The project runs on a weekly basis. Eligible candidates will be added to a pool of certified raters and contacted at least 48 hours before kickoff.

Please note

  • This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation.
  • A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported. 

Hiring in: Alabama, Arizona, Florida, Colorado, Georgia, Connecticut, Indiana, Delaware, Kansas, Idaho, Kentucky, Illinois, Missouri, Iowa, Montana, Maine, New Hampshire, Maryland, North Carolina, Massachusetts, Ohio, Michigan, Oklahoma, Minnesota, Pennsylvania, Nevada, South Carolina, New Jersey, Tennessee, New Mexico, New York, Oregon, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.