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Data Labelling Jobs in Allen, TX (NOW HIRING)

DTCC

Data Security Director

Coppell, TX · On-site

Data Protection Control Ownership * Design, deployment, and lifecycle management of DTCC's data ... Taxonomy governance, SIT / classifier standards, Label inheritance and lifecycle * Lead the ...

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 ...

Accenture

Data Protection Consultant

Dallas, TX

$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 ...

Circet USA

Data Center Tech

Plano, TX · On-site

Company Overview Circet USA is a leading provider of telecommunications and data center ... label, and terminate cables that supply AC and/or DC power or transmit datao Conduct test and ...

loanDepot

Director, Data Governance

Plano, TX · On-site

Owns enterprise data governance policies and standards for data classification, sensitivity labeling, masking/tokenization, restricted data access management, usage controls, and encryption alignment ...

AgileEngine

Taxonomy Analyst ID76178

Dallas, TX · On-site

... labeling guidelines while exercising sound, independent judgment on ambiguous data points. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa ...

The Reny Company

Medical Claims Data Entry

Plano, TX · On-site

$17 - $20/hr

... labels, form letters and correspondence. • Formats and produces documents. • Works with numbers (i.e., add, subtract, multiply and divide). • Detects and correct errors. • Uses Microsoft Word ...

Circet USA

Data Center Tech

Plano, TX · On-site

... o Identify, label, and terminate cables that supply AC and/or DC power or transmit data o Conduct test and document performance characteristics of hardware and software o Resolve equipment ...

Circet USA

Data Center Tech

Plano, TX

... o Identify, label, and terminate cables that supply AC and/or DC power or transmit data o Conduct test and document performance characteristics of hardware and software o Resolve equipment ...

Circet USA

Data Center Tech

Plano, TX · On-site

... o Identify, label, and terminate cables that supply AC and/or DC power or transmit data o Conduct test and document performance characteristics of hardware and software o Resolve equipment ...

World Wide Technology

Data Center Analyst

Addison, TX · On-site

Managing network ports and assist with the management of all consumable items (cables, labels, tie wraps, rail kits, etc.) * Maintaining the integrity of the data center facilities, systems and ...

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All JobsData Labelling JobsData Labelling Jobs in Allen, TX

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 Jul 15, 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.

What does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

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 offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

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 is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

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 like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
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What cities near Allen, TX are hiring for Data Labelling jobs? Cities near Allen, TX with the most Data Labelling job openings:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Allen, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% 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 Center Tehcnician

The Archetype Strategy

Dallas, TX • On-site

Contractor

Posted 5 days ago

Job description

Job Title: Data Center Technician

Shift: Two Shifts Available. Day and Night Shift.

Job Overview:

We are seeking a skilled and reliable Data Technician to join our team. The primary responsibilities for this role will include building data cabinets, racking, and stacking in a data center environment. The ideal candidate will have at least 6 months of prior experience in data center rack and stack work and will be comfortable working in a fast-paced, technical environment. This is an excellent opportunity to be part of a high-impact project while gaining hands-on experience in the data center industry.

Key Responsibilities:

  • Rack and Stack: Install servers, switches, routers, and other hardware into server racks and cabinets. Ensure proper cable management and secure all equipment.
  • Data Cabinet Setup: Build and configure data cabinets, including positioning and mounting hardware in compliance with safety and organizational standards.
  • Cable Management: 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, and perform basic diagnostics if needed.
  • Data Center Maintenance: Assist with data center maintenance tasks, including monitoring temperature, power, and environmental controls.
  • Documentation: Accurately document the installation and configuration of hardware and any changes made to data center setups.
  • Safety Compliance: Adhere to all safety protocols and procedures while working within the data center environment to maintain a safe and efficient workspace.

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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