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Hourly Remote Data Annotation Jobs in Virginia (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Remote Support Technician

Mclean, VA Β· On-site +1

$66K - $109K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

Remote Support Technician

Mclean, VA Β· On-site +1

$75K - $125K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

$18 - $50/hr

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging ... LI-Remote #SWSaaS You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

Showing results 41-60

Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

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

The most popular types of Remote Data Annotation jobs in Virginia are:

What are popular job titles related to Hourly Remote Data Annotation jobs in Virginia?

For Hourly Remote Data Annotation jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Hourly Remote Data Annotation jobs?

Cities in Virginia with the most Hourly Remote Data Annotation job openings:

Infographic showing various Hourly Remote Data Annotation job openings in Virginia as of September 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 11% In-person, and 89% Remote job distribution.

English AI Maps Trainer

Blacksburg, VA β€’ Remote

Welo Data
Data ServicesΒ β€’Β 1 - 5K employees

$20.30/hr

Full-time

Posted 4 days ago


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. 

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 β€” 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.