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

Accenture

Data Protection Sr. Analyst

Houston, TX · Hybrid

$84K - $100K/yr

Familiarity with Copilot/AI data risk considerations and emerging security controls. * Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR ...

Accenture

Data Protection Consultant

Houston, TX · On-site

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Accenture

Data Protection Manager

Houston, TX · On-site +1

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

INSPYR Solutions

AI Engineer

The Woodlands, TX · Hybrid

Strong understanding of data security, sensitivity labels, permissions, and AI governance principles. * Excellent communication skills -- equally comfortable with executives, analysts, and field ...

INSPYR Solutions

AI Engineer

The Woodlands, TX · On-site

Strong understanding of data security, sensitivity labels, permissions, and AI governance principles. * Excellent communication skills - equally comfortable with executives, analysts, and field ...

Bot Auto

Data Annotation Specialist

Houston, TX

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on ...

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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 Protection Sr. Analyst

Data Protection Sr. Analyst

Accenture

Houston, TX • Hybrid

$84K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 428 rated business services

Job description

This is a hybrid role that may be based near any listed location and requires travel to client sites.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members to help design, implement, and operate data protection capabilities while building strong foundational skills in security, compliance, and client delivery.

What you'll do

  • Support client engagements focused on data protection, data governance, and compliance initiatives.

  • Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).

  • Participate in requirements gathering, workshops, and documentation efforts.

  • Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.

  • Develop technical documentation, configuration guides, and client-ready deliverables.

  • Actively pursue learning, certifications, and hands-on experience in data protection technologies.

  • Contribute to emerging areas such as AI and agentic AI security, under guidance.

.

Qualifications

  • 2+ years of relevant experience.

  • Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent experience).

  • Exposure to Microsoft 365 or Azure environments preferred.

  • Prior internship, academic project, or entry-level experience in security or compliance is a plus.

  • Microsoft security-related certifications strongly preferred (e.g., SC-900, AB-900, AI-901).

What you'll bring

  • Developing knowledge of Microsoft Purview (Information Protection, DLP, and data governance).

  • Microsoft 365 security and compliance fundamentals.

  • Familiarity with Copilot/AI data risk considerations and emerging security controls.

  • Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR, HIPAA - awareness level).

  • PowerShell scripting or automation exposure is a plus.

  • Strong curiosity and willingness to learn; able to take direction and incorporate feedback.

  • Clear written and verbal communication skills with attention to detail and quality.

  • Adaptability and flexibility in a fast-paced consulting environment.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 5/1/2026 and open for at least 10 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here: U.S. Employee Benefits | Avanade

Role Location Annual Salary Range

California$84,800 to $100,700

Cleveland $69,091 to $82,046

Colorado$69,091 to $82,046

District of Columbia $88,000 to $104,500

Illinois$84,800 to $100,700

Maryland $88,000 to $104,500

Massachusetts $88,000 to $104,500

Minnesota $84,800 to $100,700

New York $92,800 to $110,200

New Jersey $84,800 to $100,700

Washington $88,000 to $104,500

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