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Data Labelling Jobs in Allen, TX (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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Showing results 41-60

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 Aug 7, 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.

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 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.

How much do data labelers get paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

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.

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 may be performed remotely or in a controlled environment.

How can I get started in data labeling?

To start in data labeling, gain familiarity with common tools like labeling software and understand data annotation standards. Building attention to detail and basic knowledge of the data types you will label, such as images or text, is essential. Many entry-level roles require no formal certification but may prefer candidates with basic computer skills and the ability to follow detailed instructions.
What job categories do people searching Data Labelling jobs in Allen, TX look for? The top searched job categories for Data Labelling jobs in Allen, TX are:
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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% 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 Cabling Supervisor | Sr. Technician

Align Communications

Plano, TX

Other

PTO

Re-posted 11 days ago

Job description

Position Overview 

As the Data Center Cabling Supervisor, you will lead and manage, cabling installations for major AI and hyperscale data centers across the U.S. You'll oversee all aspects of low-voltage cabling, from planning and standards to field execution, and make sure everything is installed safely, correctly, and on schedule. 

You do not need prior Project Manager experience to be considered. We're looking for experienced leaders with strong data center cabling backgrounds who have successfully led field teams and installations. If you've worked as a Data Center Cabling Superintendent, Cabling Superintendent, Cabling Lead, Lead Technician, Lead Fiber Technician, Foreman, Field Supervisor, Site Supervisor, Installation Supervisor, or similar leadership role, we'd love to hear from you. If you've been leading crews, managing projects in the field, coordinating subcontractors, and driving installations from start to finish, this role may be a great fit.

  • This is a full-time, salaried position, full benefits, paid time off, paid training, and performance-based bonuses. 
  • This position requires 75% travel to project sites nationwide, including AI build locations.

Key Responsibilities 

  • Review and oversee installation of cabling and support systems in new data center white space. 
  • Set and maintain cabling standards (fiber and copper) for multiple projects. 
  • Build and manage cabling tracking sheets (pull patch schedules) 
  • Supervise and coordinate subcontractors and internal crews to keep projects on schedule. 
  • Perform on-site quality checks - verifying terminations, labeling, routing, and test results. 
  • Monitor project progress and timelines; communicate changes and updates to leadership and clients. 
  • Manage documentation including submittals, RFIs, change orders, and invoicing. 
  • Enforce safety rules and lead daily toolbox talks with field teams. 
  • Report daily field progress and any issues impacting schedules or budgets. 

Required Qualifications 

  • 3+ years of experience in structured cabling, low-voltage, or fiber optic systems - ideally in large data centers or mission-critical environments. 
  • Proven experience managing field cabling crews. 
  • Ability to read and understand cabling design drawings and specifications. 
  • Knowledge of labeling standards and cabling best practices. 
  • Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). 
  • Excellent organization and communication skills. 
  • Comfortable working in active, live data center environments. 
  • Able to handle fast-paced, high-pressure project timelines. 
  • Willing to travel 75% of the time to project sites (8-12 hour days during builds). 
  • Hands-on troubleshooting skills using OLTS, OTDR, VFL, and similar testing tools. 
  • Experience leading 5-10+ technicians across multiple sites. 
  • Knowledge of safety compliance, field documentation, and reporting. 

Preferred Qualifications

  • Bachelor's degree or equivalent field experience. 
  • Experience with cabling systems for AI or HPC workloads (Spine-Leaf topology, InfiniBand, etc.). 
  • Strong understanding of racks, containment, and pathway systems. 
  • Familiar with TIA/EIA and BICSI standards and building codes. 
  • Experience working with owner's reps, vendors, and major manufacturers. 
  • Certifications like BICSI, RCDD, or TIA are a plus. 
  • Experience managing bids, RFIs, RFPs, change orders, and QA/QC documentation. 
  • Advanced troubleshooting and root-cause analysis for cabling issues. 

To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place.

PM26

Tier 2

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