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

Accenture

Data Protection Consultant

Houston, TX

$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 ...

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 · 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 ...

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 ...

AA2IT

Tape Librarian

Houston, TX · On-site

... labels for all tapes) • Verify all disks/tapes for outgoing client shipments. • Register all ... Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services.

Introl

Data Center Deployment Lead I

Houston, TX · On-site

$80K - $87K/yr

... of AI and high-performance computing. Responsibilities Lead a small team of technicians (DCT I-V ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

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Ai Data Labeling information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles usually involve leading projects, developing algorithms, and strategic decision-making in AI development, with compensation reflecting the seniority and impact of the position.

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, often requiring familiarity with labeling tools and attention to detail.

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 viable entry-level job in the AI industry, involving annotating data to train machine learning models. It requires attention to detail and familiarity with labeling tools, and can offer flexible schedules and remote work options. However, it is often considered a stepping stone to more advanced roles in data science or AI development.

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 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
Infographic showing various Ai Data Labeling job openings in Spring, TX as of July 2026, with employment types broken down into 73% Full Time, 11% Part Time, and 16% Contract. Highlights an 100% In-person job distribution.
Data Protection Consultant

Data Protection Consultant

Accenture

Houston, TX

$112K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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

50th of 449 rated business services

Job description

As a Data Protection Consultant, you'll lead the delivery of data protection and data governance solutions for Avanade clients. You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team members through complex security and compliance initiatives.

What you'll do

Lead or co-lead client engagements focused on data protection and data governance.

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

Perform threat mapping and gap analysis across structured, unstructured, cloud, and on-premises data.

Facilitate client workshops and stakeholder discussions to translate requirements into scalable, secure Microsoft-based solutions.

Own solution design decisions, configuration, and technical documentation.

Provide technical mentorship to Analysts and Senior Analysts; lead workstreams or small teams.

Contribute to estimations, delivery planning, and risk management.

Support solutioning efforts, proposals, and internal capability development.

Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security Copilot).

.

Skills and Experience

4+ years of relevant experience

Proven experience delivering security or compliance solutions in a consulting or enterprise environment.

Experience leading workstreams or small teams on client projects.

Microsoft security-related certifications strongly preferred (e.g., SC-401, SC-300, SC-200, AZ-500, MS-102, SC-100).

What you'll bring

Advanced capability in Microsoft Purview (Information Protection, DLP, Records Management) and Microsoft 365 security/compliance architecture.

Experience with data classification frameworks, control design, and regulatory alignment (e.g., GDPR, HIPAA, PCI-DSS).

PowerShell scripting for automation and reporting.

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

Strong client-facing presence and communication; able to translate technical concepts for non-technical stakeholders.

Ownership mindset and accountability for delivery outcomes; effective prioritization and problem-solving under pressure.

Coaching and mentoring capabilities.

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 4/29/2026 and open for at least 30 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 $112,000 to $133,000

Cleveland $100,000 to $118,750

Colorado $100,000 to $118,750

District of Columbia $115,200 to $136,800

Illinois $112,000 to $133,000

Maryland $115,200 to $136,800

Massachusetts $115,200 to $136,800

Minnesota $112,000 to $133,000

New York $122,400 to $145,350

New Jersey $112,000 to $133,000

Washington $115,200 to $136,800

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