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Data Labelling Jobs in Sugar Land, TX (NOW HIRING)

Accenture

Data Protection, Manager

Houston, 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 ...

Iron Mountain

Data Entry Specialist

Houston, TX

$16.64/hr

Collaborate with team members to sort, scan, and categorize files, and create labels to ensure all ... Relevant experience in high-volume data processing and proven 10-key proficiency. * Strong ...

Accenture

Data Protection Consultant

Houston, 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

Houston, 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 ...

Introl

Data Center Deployment Lead I

Houston, 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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All JobsData Labelling JobsData Labelling Jobs in Sugar Land, TX

Data Labelling information

See Sugar Land, TX salary details

$41.2K

$147.9K

$218.3K

How much do data labelling jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data labelling in Sugar Land, TX is $147,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $152,400.00 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 Sugar Land, TX look for?

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

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

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

Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Sugar Land, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,946 per year, or $71.1 per hour.

Data Center Deployment Technician I

Total Deployment Solutions

Houston, TX

Full-time

Re-posted 13 days ago

Job description

About Houston, TX

Houston remains a leading U.S. market for technology and infrastructure growth heading into 2026. The city continues to see strong demand for IT and technical talent driven by its diverse economy, including energy, healthcare, aerospace, manufacturing, and expanding data center and cloud operations. Houston offers a cost of living that remains below many major U.S. tech metros, with relatively affordable housing and no state income tax, allowing professionals to maintain a high quality of life. This balance of career opportunity, economic stability, and affordability makes Houston an attractive location for long-term technical growth.

Position Overview

The Data Center Deployment Technician I is an entry-level role ideal for candidates with 0-1 year of experience looking to start a career in data centers. This position is primarily responsible for labeling fiber optic and copper cables and performing basic Quality Control / Quality Assurance checks limited to labeling accuracy and cable condition.

Technicians in this role work under direct supervision and follow established client and TDS standards.

Key Responsibilities

  • Accurately label fiber optic and copper cables according to client standards, drawings, and project requirements.
  • Verify cable IDs, rack locations, and labeling consistency at both ends of the cable.
  • Perform QC/QA checks to confirm:
  • Labels are correct, legible, and properly placed.
  • Cables show no visible damage, breaks, kinks, or compromised jackets during labeling.
  • Identify and report labeling discrepancies or visible cable damage to project leadership.
  • Assist with updating labeling documentation, checklists, and redlines as required.
  • Follow all site safety requirements and wear required PPE.
  • Maintain a clean and organized work area to support project timelines and client standards.

Qualifications

  • High school diploma or equivalent.
  • 0-1 years of experience in a data center, cabling, or technical environment (experience preferred but not required).
  • Strong attention to detail and ability to follow labeling standards and instructions.
  • Ability to work in a fast-paced, structured environment.
  • Comfortable working in data centers, including raised floors and equipment aisles.
  • Ability to lift up to 50lbs and stand or walk for extended periods.

Preferred (Not Required):

  • Exposure to fiber optic or copper cabling.
  • OSHA 10 certification.
  • Military, trade school, or technical training background.

Why Join TDS?

  • Entry-level opportunity with hands-on data center experience.
  • Clear growth path within deployment and project teams.
  • On-the-job training and mentorship.
  • Opportunity to work on large-scale, enterprise data center projects.

JJob Type: PROJECT BASED - W2

Schedule: 8 AM - 5 PM, Monday through Friday. Please note that the schedule may fluctuate depending on client needs.

Ability to Commute:

  • Houston, TX

Work Location: In-person

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