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Data Labelling Jobs in Draper, UT (NOW HIRING)

In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors. Nopreviousexperience in AI or data labelingrequired. The perfect ...

Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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Data Labelling information

See Draper, UT salary details

$43K

$154.3K

$227.6K

How much do data labelling jobs pay per year?

As of Jul 27, 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 does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

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 offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

What is a Data Labelling job?

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 is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

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 like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
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 job categories do people searching Data Labelling jobs in Draper, UT look for? The top searched job categories for Data Labelling jobs in Draper, UT 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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $154,266 per year, or $74.2 per hour.
Data Labeler

Data Labeler

Tesla

Draper, UT • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

We are looking for a driven team member to contribute to the development of our Tesla AIsoftware at Tesla to build a world of amazing abundance.This person labels images & videos that contribute to our deep learning network. In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors.

Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is adaptable, can apply logic to multiple different scenarios, is attentive to detail, has experience with computers and other software, and enjoys a fast-paced work environment. This team provides all onsite training to help you be successful in this role.

This is a full-time, on-site position.

Schedule: Monday, Tuesday, Wednesday, Thursday, Friday OR

Saturday, Sunday, Monday, Tuesday, Wednesday

Shift: 9:00AM - 5:30PM

What You'll Do
  • Use in-house tools to label images for the Tesla AI team
  • Interact with team members to help us improve on the design of an efficient labeling interface
  • Gain basic computer vision and machine learning knowledge to better understand howthe labels are used by our learning algorithms
  • Make judgement calls on difficult edge cases that might come up during labeling

What You'll Bring
  • Must have working knowledge of the laws and rules of the road
  • Passionate and curious about technology
  • Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments
  • Able to follow directions, detail-oriented, patient, and quality focused
  • Communicate clearly using excellent written and verbal skills
  • Must be reliable, have initiative, and professional while able to work independently and on a team
  • Proficient in Microsoft Office Suite

Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

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