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Data Labelling Jobs in Irving, TX (NOW HIRING)

KC Installation, LLC

Be Seen First

Data Center Technician

Richardson, TX · On-site

$18 - $25/hr

Perform cable management, labeling, and patching, ensuring all work adheres to established ... Collaborate with data center engineers, electricians, and other team members to coordinate ...

Lightning AI

Data Center Technician

Allen, TX

Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers What You Will Need Required Qualifications * 2+ ...

Yesway

Merchandising Data Analyst

Fort Worth, TX · On-site

... label products, including Allsup's deep-fried burrito. Through strategic acquisitions, new store ... Analyze sales, inventory, and customer data to identify trends, opportunities, and risks. * Develop ...

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

Lightning AI

Data Center Technician

Fort Worth, TX · On-site

Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers What You Will Need Required Qualifications * 2+ ...

Yesway

Merchandising Data Analyst

Fort Worth, TX · On-site

... label products, including Allsup's deep-fried burrito. Through strategic acquisitions, new store ... Analyze sales, inventory, and customer data to identify trends, opportunities, and risks. * Develop ...

Accenture

Data Protection Consultant

Dallas, TX · On-site

$112K - $133K/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 Consultant

Irving, TX · On-site

$112K - $133K/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 Reny Company

Medical Claims Data Entry

Plano, TX · On-site

$17 - $20/hr

Enters data for envelopes, labels, form letters and correspondence. * Formats and produces documents. * Works with numbers (i.e., add, subtract, multiply and divide). * Detects and correct errors.

Introl

Data Center Deployment Lead I

Dallas, TX · On-site

$80K - $87K/yr

We are looking for a highly skilled and motivated Data Center Deployment Lead I to join our team at ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

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Showing results 41-60

All JobsData Labelling JobsData Labelling Jobs in Irving, TX

Data Labelling information

See Irving, TX salary details

$44.2K

$158.5K

$233.8K

How much do data labelling jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data labelling in Irving, TX is $158,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $163,200.00 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 job categories do people searching Data Labelling jobs in Irving, TX look for?

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

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

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

Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Irving, 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 $158,458 per year, or $76.2 per hour.

Data Center Technician

The Archetype Strategy

Allen, TX • On-site

Full-time

Re-posted 13 days ago

Job description

Overview

We are seeking a detail-oriented Data Center Cabling Technician to support structured cabling and physical layer infrastructure within a high-performance data center environment in Allen, TX. This role is heavily focused on fiber and copper installations, cable management, and ensuring clean, efficient, and scalable connectivity across the facility.

Key Responsibilities
  • Install, route, and secure fiber optic and copper cabling(Cat5e, Cat6, Cat6a, SM/MM fiber)
  • Perform rack and stack support with an emphasis on proper cable routing and management
  • Terminate, test, and troubleshoot fiber (LC, SC, MPO/MTP) and copper connections
  • Read and interpret cable run lists, floor plans, and network diagrams
  • Label cables and ports according to data center standards and maintain accurate documentation
  • Perform cable tracing, auditing, and cleanup to maintain organized pathways
  • Use testing equipment such as OTDR, power meters, and cable certifiers
  • Support build-outs, expansions, and decommissioning projects
  • Ensure proper use of ladder racks, trays, and patch panels
  • Follow strict TIA/EIA and BICSI standards for structured cabling
  • Adhere to all safety protocols, including working at heights and in confined spaces

Qualifications:

  • Experience: At least 1 year of prior data center rack and stack experience, including knowledge of data center hardware installation, cable management, and general data center operations.
  • Technical Skills: Basic understanding of server hardware, networking equipment, and how they integrate within a data center environment.
  • Physical Requirements: Ability to lift and carry equipment (up to 50 lbs), bend, kneel, and stand for extended periods of time. Comfortable working in tight spaces.
  • Attention to Detail: Strong attention to detail to ensure proper installation, cable management, and system configuration.
  • Problem-Solving Skills: Ability to troubleshoot basic hardware issues and report any problems or discrepancies to senior technicians.
  • Teamwork: Ability to collaborate effectively with other team members and follow instructions from senior technicians and project managers.
  • Work Environment: Willingness to work in a fast-paced, high-energy environment with strict deadlines and performance targets.

Preferred Qualifications:

  • Previous experience working in a large-scale data center environment.
  • Familiarity with industry-standard data center racking systems and cabling practices.
  • Knowledge of basic network equipment (e.g., routers, switches) and server configurations.

Additional Information:

  • Work Hours: Full-time hours, Monday through Friday (with potential for overtime based on project deadlines).

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