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

Data Protection, Manager

Houston, TX · On-site

$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 ...

... 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.

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

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 ...

Quality Engineer

Houston, TX · On-site

$68K - $88K/yr

About Giga Giga is building gigawatts of AI data centers to hasten a future of intelligence and ... Apply release labels or hold tags as appropriate; never release a unit without Quality Manager sign ...

... 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 ...

... AI workloads. Responsibilities * Install, rack, and deploy server and networking hardware in ... Perform cable management tasks including reseating, labeling, and replacing network, power, and ...

Showing results 21-40

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 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 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.

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What cities near Spring, TX are hiring for Ai Data Labeling jobs?

Cities near Spring, TX with the most Ai Data Labeling job openings:

Infographic showing various Ai Data Labeling job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Engineer Technician - R&D and Automation

Houston, TX • On-site

Other

Posted 17 days ago


Job description

Smith is the leading independent electronic components distributor in the world. Since our founding in 1984, Smith’s Intelligent Distribution model and commitment to quality has allowed us to deliver comprehensive solutions to electronic component supply chains. We work across a variety of industries including automotive, supercomputing, gaming, medical devices, oil and gas, and more. Additionally, we provide tailored supply chain solutions such as counterfeit testing, vendor inventory management, and sustainable hardware disposition. We're excited to meet you and share what we love about Smith!The Engineering Technician plays a critical role in supporting the R&D and Automation department in the design, development, and global deployment of proprietary hardware and software solutions. This role bridges the gap between mechanical design, robotic integration, and advanced software engineering to drive operational profitability and technical excellence.Main ResponsibilitiesAssisting R&D and Automation Engineers in the following areas:1. Software Engineering & Process AutomationCustom Solutions: Develop and deploy proprietary software (Python, Rust, JS/TS) to automate hardware and logistics workflows.Core Systems Contribution: Write, test, and deploy critical code patches for corporate-level software to minimize external licensing costs.Profitability & Efficiency: Identify manual bottlenecks and develop utility scripts or automation frameworks to generate cost savings and increase operational speed.Data Security & Lifecycle: Adhere to Smith Policy network security standards and maintain meticulous documentation of all software modifications and component obsolescence.2. Computer Vision & AI ImplementationVision Systems Integration: Support the selection, mounting, and calibration of industrial cameras and specialized lighting to optimize image acquisition.OpenCV Scripting: Develop basic image processing scripts (filtering, thresholding, contour detection) to assist in feature extraction for inspection systems.AI/ML Support: Assist in deploying inference models on edge devices, including data labeling, dataset management, and accuracy testing for anomaly detection.3. Robotics, 3D Modeling & HardwareRobotics & Cobots: Assist in the physical installation, basic point-to-point teaching, and routine calibration of industrial arms.CAD Design: Utilize 3D modeling software (SolidWorks, Fusion 360) to design custom mechanical components, brackets, and enclosures.Rapid Prototyping: Manage 3D printing workflows and physical assembly of prototype stations.Hardware Lifecycle: Install and upgrade complex components (CPUs, RAM, storage) in x86 and embedded systems across global sites.Required Skills & QualificationsProgramming: Expertise in Python, JavaScript/TypeScript, HTML/CSS, and specialized industrial languages (e.g., ZPL).Vision & AI: Practical experience with OpenCV and a basic understanding of AI training vs. inference workflows.IT Infrastructure: Advanced administration of Windows, OSX, and Linux environments. Foundational networking knowledge (Cisco, Ubiquiti).Mechanical & Optics: Proficiency in 3D CAD software and a solid grasp of industrial opticsSoft Skills: Proven ability to act as a proactive problem-solver in high-pressure, fast-paced R&D environments.Preferred & Bonus Skills AI experience with RAG systems, local model deployment, or ML/AI development.Cloud & DevOps: Familiarity with AWS (EC2, S3, RDS) and CI/CD practices (Git).Certification: A+ Certification or specialized Python/Software Engineering certificatesFSLA: ExemptPosition Type: Full-Time/RegularSmith is an Equal Opportunity/Affirmative Action employer#LI-AK1We are an Equal Opportunity/Affirmative Action Employer. #J-18808-Ljbffr