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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 ...

Giga Energy

Warehouse Technician

Houston, TX · On-site

$16.25 - $20/hr

About Giga Giga is building gigawatts of AI data centers to hasten a future of intelligence and ... crating, labeling, and staging for freight carriers * Perform cycle counts and periodic physical ...

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Ai Data Labeling information

What is an AI data labeling?

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 AI data labeling?

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.

What does an AI data labeling do?

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 August 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Contract. Highlights an 72% In-person, and 28% Remote job distribution.

Vulnerability Management Cybersecurity Data Protection DLP Lead

Sparc Technology Services Inc

Houston, TX • On-site

Other

Re-posted 15 days ago

Job description

Title: Vulnerability Management Cybersecurity Data Protection (DLP) Lead

Engagement Type: Contract

Location: Houston, Texas Downtown, must relocate, No Exceptions.

In-Office Expectation: 4 days in-office, 1 day remote (Houston, TX )

Duration: 6 months, potential for extension

Work Authorization: Any

Key Responsibilities

Lead implementation and enhancement of Microsoft Purview Data Classification and DLP policies across Exchange, SharePoint, OneDrive, Teams, and endpoint environments

Design, implement, and optimize DLP policies and rules (conditions, thresholds, exceptions) to improve detection accuracy and reduce false positives

Drive automation of DLP alert investigations, including detection validation, triage workflows, and root cause analysis

Develop and enhance sensitivity labeling frameworks, including taxonomy, enforcement strategies, and adoption across the enterprise

Analyze data classification trends and misclassifications, and coordinate user awareness and policy communication initiatives

Build and maintain operational reporting frameworks, including dashboards and cadence-based reporting (monthly/quarterly) for risk, incidents, and performance metrics

Lead AI security governance initiatives across Microsoft Copilot, Power Platform, and third-party AI integrations, including posture assessments and risk mitigation strategies

Establish and maintain standard operating procedures (SOPs), runbooks, and QA processes for DLP investigations and incident management

Ensure proper audit readiness and compliance, including documentation, evidence retention, and traceability for security events

Collaborate with security, compliance, IT, and business stakeholders to prioritize remediation activities and manage security backlogs

Mentor and guide security analysts, manage workload distribution, and ensure adherence to service-level agreements (SLAs)

Continuously improve data protection capabilities through process optimization, automation, and integration with broader security frameworks

Flexible work from home options available.

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