1

Data Annotation Engineer Jobs in Houston, TX (NOW HIRING)

Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

You will work directly with our engineering teams to ensure our models are trained on high-fidelity ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

You will work directly with our engineering teams to ensure our models are trained on high-fidelity ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

ABM) is one of the world's largest providers of integrated facility, engineering, and ... Maintain sheet notes, symbols, and annotation accuracy in assigned views. * Apply shared parameters ...

... annotation, and protocol adherence • Transfer images accurately and timely to PACS and related ... collaborate with engineering and physics teams on equipment concerns • Report equipment ...

New

... annotation, and protocol adherence Transfer images accurately and timely to PACS and related ... engineering and physics teams on equipment concerns Report equipment malfunctions promptly with ...

... annotation, and protocol adherence • Transfer images accurately and timely to PACS and related ... collaborate with engineering and physics teams on equipment concerns • Report equipment ...

New

... annotation, and protocol adherence • Transfer images accurately and timely to PACS and related ... collaborate with engineering and physics teams on equipment concerns • Report equipment ...

Data Annotation Engineer information

See Houston, TX salary details

$49.2K

$140.8K

$188.1K

How much do data annotation engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data annotation engineer in Houston, TX is $140,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $187,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Houston, TX? For Data Annotation Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Houston, TX look for? The top searched job categories for Data Annotation Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Annotation Engineer jobs? Cities near Houston, TX with the most Data Annotation Engineer job openings:
Infographic showing various Data Annotation Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 68% Full Time, 8% Part Time, and 24% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $140,821 per year, or $67.7 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 20 days ago


Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They are seeking a highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data that powers their perception and mapping stacks.
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.