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Freelance Data Labeler Jobs in Tennessee (NOW HIRING)

Welo Data

English AI Maps Trainer

Nashville, TN · Remote

$20.30/hr

... 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

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Freelance Data Labeler information

What is a freelance data labeler?

Freelance data labelers are independent contractors who annotate, categorize, or tag data—such as images, text, or audio—to help train artificial intelligence and machine learning models. They work remotely and are often hired by companies or platforms on a project basis. Their work is essential for ensuring that AI systems learn from accurately labeled and organized datasets. As freelancers, they have flexibility in choosing projects and setting their schedules, but are typically paid per task or per project.

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

To thrive as a Freelance Data Labeler, you need keen attention to detail, basic data management skills, and familiarity with guidelines for labeling or annotating data, usually supported by a high school diploma or equivalent. Experience with data annotation platforms (like Labelbox, Scale AI, or Amazon SageMaker Ground Truth) and understanding of file formats such as CSV or JSON are often required. Strong time management, reliability, and clear communication skills help freelancers deliver consistent and accurate results while meeting deadlines. These competencies ensure that labeled data is high-quality and trustworthy for training AI and machine learning models.

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

Freelance data labelers often encounter challenges such as repetitive tasks, tight deadlines, and quality expectations from clients. To manage these effectively, it's important to establish a structured workflow, take regular breaks to reduce fatigue, and communicate proactively with clients about project requirements. Building expertise in various labeling tools and staying updated on industry standards can also help improve efficiency and accuracy. Additionally, joining online communities can provide support and insights into best practices.

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

AspectFreelance Data LabelerData Annotator
CredentialsBasic computer skills, attention to detailSimilar credentials, often no formal certification needed
Work EnvironmentRemote, flexible freelance setupRemote or in-house, depending on employer
Industry UsageFreelance platforms, AI companiesTech companies, AI, and machine learning firms
Search & Comparison IntentHigh overlap, both involve labeling data for AI training

Freelance Data Labelers and Data Annotators perform similar tasks involving labeling data for AI models. The main difference lies in their employment setup: Freelance Data Labelers typically work independently on projects from various clients, offering flexibility, while Data Annotators may work for specific companies or in-house teams. Both roles require attention to detail and basic technical skills, making them closely related in the AI data preparation industry.

What are the most commonly searched types of Data Labeler jobs in Tennessee?

The most popular types of Data Labeler jobs in Tennessee are:

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For Freelance Data Labeler jobs in Tennessee, the most frequently searched job titles are:

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Freelance Data Labeler jobs near you

English AI Maps Trainer

Nashville, TN • Remote

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

$20.30/hr

Part-time

Posted 8 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. 

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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.