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

The Data Annotation Specialist will be responsible for creating, refining, and validating ground ... Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ...

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.

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

... 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 ...

... 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 Jul 6, 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.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

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 prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

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 July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 90% In-person, and 10% 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 14 days ago


Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks. The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's 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.