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Data Labelling Jobs (NOW HIRING)

Tesla

Data Labeler

Draper, UT · On-site

The role involves using in-house tools to label data from vehicles and Optimus Data Collectors while working collaboratively with team members to enhance the labeling interface. Responsibilities ...

Reducto

Data Labeling Lead (Contract)

The Opportunity As Data Labeling Lead , you'll play a key role in leading and managing our in-house data labeling team to ensure the highest quality of training data for our models. You'll ...

Aerotek

Data Labeling Specialist

San Jose, CA · On-site

$30/hr

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training will be provided Join our mission to build the world's first general-purpose humanoid robot. As a Data ...

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training will be provided Join our mission to build the world's first general-purpose humanoid robot. As a Data ...

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How much do data labelling jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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 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.
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Data Labelling jobs near you
Data Labeler

Data Labeler

Tesla

Draper, UT • On-site

Full-time

Posted 6 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is seeking a driven team member to contribute to the development of their AI software by labeling images and videos for their deep learning network. The role involves using in-house tools to label data from vehicles and Optimus Data Collectors while working collaboratively with team members to enhance the labeling interface.
Responsibilities:
• 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 how the labels are used by our learning algorithms
• Make judgement calls on difficult edge cases that might come up during labeling
Qualifications:
Required:
• 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
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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