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Part Time Remote Data Labelling Jobs in Dallas, TX

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

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Job Title: AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an

Showing results 21-40

Part Time Remote Data Labelling information

See Dallas, TX salary details

$45.5K

$163.2K

$240.9K

How much do part time remote data labelling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for part time remote data labelling in Dallas, TX is $163,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 per year, depending on experience, location, and employer.

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are the key skills and qualifications needed to thrive as a part time remote data labelling specialist?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What are some common challenges faced by part time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What are popular job titles related to Part Time Remote Data Labelling jobs in Dallas, TX?

For Part Time Remote Data Labelling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Labelling jobs in Dallas, TX look for?

The top searched job categories for Part Time Remote Data Labelling jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Part Time Remote Data Labelling jobs?

Cities near Dallas, TX with the most Part Time Remote Data Labelling job openings:

English AI Maps Trainer

Fort Worth, TX • Remote

Welo Data
Data Services • 1 - 5K employees

$20.30/hr

Part-time

Posted 16 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. 

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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.