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Data Labelling Jobs in Allen, TX (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 ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... label spatial entities (haul roads, rock piles, machinery, vehicles, personnel) in both 2D and 3D data. - Track and annotate the motion and orientation of heavy equipment in operational scenarios ...

Posted today

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 ...

Posted today

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

execute manual data annotation and QA review: Perception annotation: video, images, machine sensor ... In this role, you won't just label images--you'll solve complex 3D spatial challenges, fuse multi ...

Posted today

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

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

Posted today

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 ...

... 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 ...

... 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 ...

... 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 ...

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

Posted today

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Data Labelling information

See Allen, TX salary details

$42.8K

$153.5K

$226.5K

How much do data labelling jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data labelling in Allen, TX is $153,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $158,100.00 per year, depending on experience, location, and employer.

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 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.

How much do data labelers get paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

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.

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 may be performed remotely or in a controlled environment.

How can I get started in data labeling?

To start in data labeling, gain familiarity with common tools like labeling software and understand data annotation standards. Building attention to detail and basic knowledge of the data types you will label, such as images or text, is essential. Many entry-level roles require no formal certification but may prefer candidates with basic computer skills and the ability to follow detailed instructions.
What job categories do people searching Data Labelling jobs in Allen, TX look for? The top searched job categories for Data Labelling jobs in Allen, TX are:
What cities near Allen, TX are hiring for Data Labelling jobs? Cities near Allen, TX with the most Data Labelling job openings:
Infographic showing various Data Labelling job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,496 per year, or $73.8 per hour.

Data Labeler

Tesla

Dallas, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 681 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.

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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