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Data Labelling Jobs in Draper, UT (NOW HIRING)

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 ...

Data Technician Lead

Salt Lake City, UT · On-site

$42K - $55K/yr

... labeling of structured cabling (both fiber & UTP copper cabling) networks in retail, commercial ... Data Technicians, and other service technicians), and other positions. This vacancy is one of those ...

Data Technician Lead

Salt Lake City, UT · On-site

$42K - $55K/yr

... labeling of structured cabling (both fiber & UTP copper cabling) networks in retail, commercial ... Data Technicians, and other service technicians), and other positions. This vacancy is one of those ...

Phlebotomist I

Draper, UT · On-site

$18 - $19/hr

Perform blood draws, labeling specimens, centrifuging specimens, recording maintenance data and decontamination, and updating patient information. * Collect and store specimens according to ...

Phlebotomist I

Provo, UT · On-site

$18 - $19/hr

Perform blood draws, labeling specimens, centrifuging specimens, recording maintenance data and decontamination, and updating patient information. * Collect and store specimens according to ...

The position includes such function as matching patient information, data entry, aliquoting ... Ensure proper patient identification on both laboratory paperwork/labels and specimens Properly ...

Showing results 21-40

Data Labelling information

See Draper, UT salary details

$43K

$154.3K

$227.6K

How much do data labelling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data labelling in Draper, UT is $154,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,800.00 and $158,900.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

What are popular job titles related to Data Labelling jobs in Draper, UT?

For Data Labelling jobs in Draper, UT, the most frequently searched job titles are:

What cities near Draper, UT are hiring for Data Labelling jobs?

Cities near Draper, UT with the most Data Labelling job openings:

Infographic showing various Data Labelling job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $154,266 per year, or $74.2 per hour.

English AI Maps Trainer

Salt Lake City, UT • 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.