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Entry Level Data Labeling Jobs in Texas (NOW HIRING)

TEKsystems

Data Center Technician

Abilene, TX

$23 - $25/hr

We are seeking an Entry-Level Hardware Technician to support the installation, maintenance ... Stage, route, and label power and network cables. * Install hardware components and peripherals ...

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Entry Level Data Labeling information

What are the key skills and qualifications needed to thrive as an Entry Level Data Labeling Specialist, and why are they important?

To thrive in entry level data labeling, you need attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and sometimes simple image or audio editing tools is beneficial. Strong focus, reliability, and the ability to follow detailed instructions set outstanding candidates apart. These skills ensure labeled data is accurate and consistent, which is critical for training effective machine learning models.

What is an entry level data labeling job?

An entry level data labeling job involves reviewing and tagging data—such as images, videos, text, or audio—with specific labels or categories to help train machine learning models. Data labelers follow guidelines to accurately annotate data, making it understandable for computers. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. It is often a starting point for those interested in artificial intelligence or data science fields, and may be remote or on-site depending on the company.

What are some common challenges faced in an entry level data labeling role, and how can they be managed?

Entry level data labeling roles often involve repetitive tasks that require high attention to detail and consistency, which can sometimes lead to fatigue or decreased concentration. To manage these challenges, it's important to take regular breaks, communicate with your team about any ambiguities in the labeling guidelines, and utilize available training materials. Many companies also implement quality checks and provide feedback, which helps maintain accuracy and offers opportunities for skill development. Collaborating with peers and supervisors for clarification can make the workflow smoother and ensure high-quality labeled data.
What are the most commonly searched types of Data Labeling jobs in Texas? The most popular types of Data Labeling jobs in Texas are:
What are popular job titles related to Entry Level Data Labeling jobs in Texas? For Entry Level Data Labeling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Labeling jobs in Texas look for? The top searched job categories for Entry Level Data Labeling jobs in Texas are:
What cities in Texas are hiring for Entry Level Data Labeling jobs? Cities in Texas with the most Entry Level Data Labeling job openings:
Entry Level Data Labeling jobs near you
Infographic showing various Entry Level Data Labeling job openings in Texas as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution.

Data Center Deployment Technician I

Total Deployment Solutions

Abilene, TX

Other

Re-posted 22 days ago

Job description

About Abilene, TX

Abilene, TX is quickly becoming a major data center build market, fueled by large-scale hyperscale and AI infrastructure projects. These campuses are engineered for high-density power, enterprise fiber, and continuous expansion-creating steady demand for fiber and copper techs, electricians, installers, and commissioning crews. Abilene offers hands-on work on massive builds, exposure to critical power and network systems, and long-term project stability as the market continues to grow

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.

Job 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:

  • Abilene, TX

Work Location: In-person

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