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Ai Data Labeling Jobs in Spring, TX (NOW HIRING)

Deloitte

Cyber Data Protection Manager

Houston, TX · Remote

$106K - $143K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Shaw Systems

Information Security Officer

Houston, TX · On-site

Architect secure AI/LLM environments (mitigating data leakage, prompt injection, etc.) * Own Microsoft Purview strategy (DLP, labeling, information protection) * Represent AI security posture to ...

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All JobsAi Data Labeling JobsAi Data Labeling Jobs in Spring, TX

Ai Data Labeling information

What is an AI Data Labeling job?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Data Labeling position, and why are they important?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

How much do AI labelers make?

AI data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or part-time, with some companies offering bonuses for accuracy and efficiency.

What does an AI data labeler do?

An AI data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. This role requires attention to detail and familiarity with labeling tools, often working remotely with flexible schedules. Accurate labeling is essential for improving AI system performance.

Is data labelling a good career?

Data labeling is a common entry-level role in the AI industry that involves annotating data for machine learning models. It offers flexible schedules and requires attention to detail, but it may have limited advancement opportunities without additional skills or certifications.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, machine learning engineers, or AI executives, with compensation including salary, bonuses, and stock options reaching that amount annually. These positions often require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and industry expertise.

What are typical daily tasks for an AI Data Labeling professional?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are popular job titles related to Ai Data Labeling jobs in Spring, TX? For Ai Data Labeling jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling jobs in Spring, TX look for? The top searched job categories for Ai Data Labeling jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Data Labeling jobs? Cities near Spring, TX with the most Ai Data Labeling job openings:
Ai Data Labeling jobs near you
Data Center Deployment Technician I

Data Center Deployment Technician I

Total Deployment Solutions

Houston, TX • On-site

$17.25 - $22.75/hr

Full-time

Posted 5 days ago

Job description

About Total Deployment Solutions
Total Deployment Solutions (TDS) is a nationwide information technology services provider with 14 years of experience delivering innovative, business-critical solutions. We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop relocation, ensuring organizations transition seamlessly into new or evolving work environments. Our teams manage every detail, from workstation setup to ongoing desktop support, so clients can operate without disruption. Trusted by enterprise and data center partners, TDS continues to lead and adapt to the evolving technology landscape with a focus on reliability, precision, and long-term partnership.
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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