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Data Labelling Jobs in Frisco, TX (NOW HIRING)

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.

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 ...

... 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 ...

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

... 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 ...

... 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 ...

Showing results 41-60

Data Labelling information

See Frisco, TX salary details

$43.1K

$154.4K

$227.9K

How much do data labelling jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data labelling in Frisco, TX is $154,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $159,100.00 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.
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What cities near Frisco, TX are hiring for Data Labelling jobs? Cities near Frisco, TX with the most Data Labelling job openings:
Infographic showing various Data Labelling job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,446 per year, or $74.3 per hour.

Level 4 Data Center Technician

Glow Networks

Dallas, TX • On-site

Full-time

Re-posted 8 days ago


Job description

Role: Data center Installer (Ciena)
Client: Ciena
Location: Any US location; heavy travel is required.
Position is on W2
Key Responsibilities:
  • Install, terminate, and test fiber optic and copper cabling (CAT6, CAT6a, MPO, etc.).
  • Perform structured cabling tasks, including cable routing, dressing, and labeling for neat and organized installations.
  • Diagnose and resolve network connectivity issues related to cabling and fiber optics.
  • Ensure proper power distribution, including rack-level PDU installations, UPS systems, and grounding compliance.
  • Conduct routine maintenance, inspections, and upgrades to power and cooling systems within the data center.
  • Collaborate with network engineers and system administrators to support deployments and troubleshoot issues.
  • Follow standard operating procedures (SOPs) and adhere to industry best practices for cabling and power management.
  • Maintain accurate documentation of cable layouts, power circuits, and infrastructure changes.
  • Ensure compliance with safety protocols, ESD precautions, and data center security policies.

Qualifications & Skills:
  • Experience: 7+ years in a data center environment or related field.
  • Technical Skills: Strong knowledge of fiber optic splicing, cable termination, and structured cabling standards.
  • Familiarity with BICSI standards and best practices for cabling infrastructure.
  • Experience working with PDUs, UPS systems, and power monitoring tools.
  • Ability to use testing tools such as OTDR, power meters, and cable certifiers.
  • Understanding of rack and stack procedures for servers, switches, and network gear.
  • Certifications (Preferred): BICSI, FOA, CCNA, or equivalent fiber optic/cabling-related certifications.