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Data Labelling Jobs in Dallas, TX (NOW HIRING)

CSW Industrials

ERP Data Specialist

Rockwall, TX · On-site

Update and maintain data across JDE and connected systems (EBT, palletizers, labelers, Lisam). * Ensure data consistency and resolve discrepancies across systems. Data Governance & Quality * Enforce ...

Accenture

Data Protection, Manager

Dallas, TX · On-site

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...

Accenture

Data Protection, Manager

Irving, TX · On-site

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...

The Archetype Strategy

Data Center Technician

Allen, TX · On-site

Properly route, label, and secure cables to ensure a clean, organized, and efficient data center layout. * Equipment Testing: Ensure that installed equipment is powered on and functioning correctly ...

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Showing results 21-40

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.

ERP Data Specialist

CSW Industrials

Rockwall, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Position Purpose:
The ERP Data Specialist is responsible for the accuracy, integrity, and governance of all manufacturing data within JD Edwards (JDE) and connected systems. This role owns item master data, Bills of Material (BOM), and related configurations, ensuring alignment across EBT, palletizers, labelers, and Lisam to support efficient and compliant operations.
Key Responsibilities:
ERP Data Specialist & Ownership
  • Own all manufacturing data entered in JDE, including item setup, BOMs, and routings.
  • Maintain accurate, complete, and timely master data to support production, planning, costing, and inventory.
  • Ensure proper BOM structure and data integrity across the product lifecycle.

System & Integration Management
  • Update and maintain data across JDE and connected systems (EBT, palletizers, labelers, Lisam).
  • Ensure data consistency and resolve discrepancies across systems.

Data Governance & Quality
  • Enforce data standards, naming conventions, and governance practices.
  • Monitor and resolve data quality issues; maintain audit-ready documentation.
  • Ensure compliance with regulatory and quality requirements (FDA, ISO, SOX).

Change Management & Support
  • Execute data changes related to MOC, new products, and engineering updates.
  • Support R&D in transitioning products from pilot to production.
  • Partner with Operations, Supply Chain, Quality, Engineering, and IT to support data needs.

Continuous Improvement
  • Improve data processes, controls, and system integrations.
  • Support ERP enhancements, upgrades, and data migrations.

Qualifications
  • Bachelor's degree or equivalent experience.
  • 3+ years in data stewardship or master data management in manufacturing.
  • Experience with JDE or similar ERP systems; strong knowledge of BOMs and item master data.
  • Familiarity with EBT, palletizers, labelers, and Lisam preferred.
  • Strong attention to detail and problem-solving skills.
  • Manufacturing or production operations experience preferred.

Whitmore offers excellent competitive wages, Performance and Attendance Bonus programs, world-class benefits, and unparalleled opportunities for development - all to create an invigorating and satisfying environment.
Benefits:
  • Medical, Dental, Vision insurance
  • Disability insurance
  • Life insurance
  • Flexible Spending Account & Health Savings Account
  • Paid time off (PTO)
  • Maternity & Paternity leave
  • Employee Assistance Program
  • Tuition reimbursement
  • 401(k) $1-$1 match, up to 6% - vest immediately
  • 401(k) additional profit sharing - up to 3%
  • Employee Stock Ownership Plan (ESOP)
  • UKG Wallet, choose when and how to get paid

Whitmore is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, veteran status, disability, source of income, status as a victim of an intra-family offense, and place of residence or business
We support and care for our employees by providing them with development opportunities that enhance their career fulfillment; meaningful compensation & benefits that help them care for their family; and opportunities to contribute to the community and enhance the lives of others through Whitmore Cares.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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