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Data Labelling Jobs in Dallas, TX (NOW HIRING)

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 ...

UNAVAILABLE

AI Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Stand up andmaintainannotation andsynthetic-datapipelines (CVAT,Roboflow, Label Studio) that produce training and ground-truth datasets. * Integrate ServiceNow incident, asset, and CMDB data to ...

YO AI Labs

Video Annotation Expert - Remote

Dallas, TX · Remote

$50 - $90/hr

The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects. Key Responsibilities * Review videos and identify key actions, events, and ...

New

Globalaii INC

Data Center Technician

Dallas, TX · Remote

$20 - $50/hr

Data Center Technician - Hiring in Multiple U.S. Locations Location: CA, MN, TX, VA Employment Type ... Install, route, label, dress, test, and troubleshoot fiber optic and copper cabling. * Manage patch ...

CSW Industrials, Inc.

ERP Data Specialist

Rockwall, TX · On-site

$15.75 - $21.25/hr

This role owns item master data, BOMs, and related configurations, ensuring alignment across EBT, palletizers, labelers, and Lisam to support efficient and compliant operations. Key Responsibilities

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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 Sep 14, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,241 per year, or $78.5 per hour.

Data Labeler Manager

Dallas, TX • On-site

Tesla
See more jobs at Teslaexternal

Full-time

Re-posted 29 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 690 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
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 performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations.
Responsibilities:
• Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1’s, and complete monthly analyst reports
• Evaluate daily performance in proprietary software to report daily summaries and team metrics to ensure the team is consistently exceeding expectations
• Work directly with engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints
• Have a solid understanding of project guidelines to be able to communicate labeling concepts effectively, labeling inefficiencies, assist in creating documentation and training materials
• Execute proper headcount allocation between quality control, labeling, and prioritize job queues daily as directed by leadership
• Ensure documentation and daily planning for the team is accurate and consistently updated
• Ensure team alignment with company policies
• Other supervisory duties such as employee development, conducting bi-yearly performance reviews and monthly performance check-ins with Team Leads and Data Labelers, and accurately manage timekeeping
Qualifications:
Required:
• Experience managing and motivating medium-sized teams that perform manual operations
• Ability to manage time efficiently, prioritizing tasks by order of precedence and completing in a timely manner
• Proven record of accomplishments executing and meeting sensitive deadlines with experience managing multiple competing projects with limited resources
• Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training and can adapt in an ambiguous environment
• Effective communication and presentation skills - can explain complicated topics and ideas in a clear and concise manner
• Commitment to data accuracy and throughput
Company:
Tesla is accelerating the world’s transition to sustainable abundance. 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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