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Data Labelling Jobs in Dallas, TX (NOW HIRING)

Tesla

Data Labeler

Dallas, TX · On-site

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

Data Labeler Manager

Dallas, TX · On-site

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 ...

Novul Solutions

Data Analyst

Arlington, TX

Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP enterprise. * Ensure compliance with DoW policies on data classification and information security ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Required Skills & Qualifications: - 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR, point ...

Vailexa

Lead Data Security Architect

Plano, TX · On-site

The emphasis is on supporting the client through the work required to classify, tag, label, prioritize, and remediate data security findings in a structured way. This role works alongside the client ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

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All JobsData Labelling JobsData Labelling Jobs in Dallas, TX

Data Labelling information

See Dallas, TX salary details

$45.5K

$163.2K

$240.9K

How much do data labelling jobs pay per year?

As of Aug 23, 2026, the average yearly pay for 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 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 the most commonly searched types of Data Labelling jobs in Dallas, TX?

The most popular types of Data Labelling jobs in Dallas, TX are:

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

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

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

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

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

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

Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $163,241 per year, or $78.5 per hour.

Data Labeler

Tesla

Dallas, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

1st of 45 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.

Shift: 09:00AM - 05:30PM; Monday - Friday

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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