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Remote Data Labeling Jobs in Nevada (NOW HIRING)

Welo Data

English AI Maps Trainer

Las Vegas, NV · Remote

$20.30/hr

... Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye for artistic detail and intuitive ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

Posted today

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Remote Data Labeling information

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$11

$36

$81

How much do remote data labeling jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote data labeling in Nevada is $36.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.05 and $49.05 per hour, depending on experience, location, and employer.

What is remote data labeling?

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 skills and qualifications are needed for remote data labeling?

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 are 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.

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

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

What are popular job titles related to Remote Data Labeling jobs in Nevada?

For Remote Data Labeling jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling jobs in Nevada look for?

The top searched job categories for Remote Data Labeling jobs in Nevada are:

What cities in Nevada are hiring for Remote Data Labeling jobs?

Cities in Nevada with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Nevada as of August 2026, with employment types broken down into 42% Full Time, 18% Part Time, 5% Temporary, and 35% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,534 per year, or $36.3 per hour.

English AI Maps Trainer

Las Vegas, NV • Remote

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

$20.30/hr

Part-time

Posted 17 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.