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Data Labeler Jobs in Spring, TX (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). • Vectorized Map Annotation: Annotate and edit ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). • Vectorized Map Annotation: Annotate and edit ...

Bot Auto

Data Annotation Specialist

Houston, TX

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). * Vectorized Map Annotation: Annotate and edit high ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). * Vectorized Map Annotation: Annotate and edit high ...

Accenture

Data Protection Sr. Analyst

Houston, TX · Hybrid

$84.80K - $100.70K/yr

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.

Accenture

Data Protection Manager

Houston, TX · On-site +1

$150.40K - $178.60K/yr

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

Accenture

Data Protection Consultant

Houston, TX

$112K - $133K/yr

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

NTG Staffing

Data & Logistics Technician

Houston, TX

The Data & Logistics Technician will provide technical expertise, records management, and data ... Request asset numbers for newly purchased assets and track and reports on progress of labeling and ...

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How much do data labeler jobs pay per hour?

As of May 29, 2026, the average hourly pay for data labeler in Spring, TX is $12.43, according to ZipRecruiter salary data. Most workers in this role earn between $11.11 and $13.70 per hour, depending on experience, location, and employer.

What is a Data Labeler job?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

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

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

What does a typical day look like for a Data Labeler and how do team interactions work?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

What is the role of a data labeler?

A data labeler is responsible for annotating and categorizing data, such as images, text, or videos, to help machine learning models understand and learn from the data. This role often involves using specialized tools and requires attention to detail to ensure accurate labeling, which is essential for training effective AI systems.
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What cities near Spring, TX are hiring for Data Labeler jobs? Cities near Spring, TX with the most Data Labeler job openings:
Data Labeler jobs near you
Infographic showing various Data Labeler job openings in Spring, TX as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 6% Full Time, 69% Part Time, 2% Temporary, and 18% Contract. Highlights an 60% Physical, 9% Hybrid, and 31% Remote job distribution, with an average salary of $25,854 per year, or $12.4 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They are seeking a meticulous Data Annotation Specialist responsible for creating, refining, and validating the ground-truth data for their autonomous driving system, ensuring high-quality data meets rigorous safety standards.
Responsibilities:
• 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
• Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
• Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
• Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
• Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
• Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Qualifications:
Required:
• Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
• Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
• Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird’s Eye View).
• Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
• Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred:
• Prior experience in data annotation for autonomous driving, robotics, or computer vision.
• Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
• Experience with 3D labeling tools.
• Familiarity with HD maps.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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