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Data Annotation Engineer Jobs (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 ...

They are seeking a meticulous Data Annotation Specialist responsible for creating, refining, and ... 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.

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. What you'll do

The Human Data Operations & Solutions Engineer will manage technical sales and hands-on data operations, leading the delivery of proof of concepts and ensuring high-quality data annotation workflows.

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Data Annotation Engineer information

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$51.5K

$147.5K

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How much do data annotation engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data annotation engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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 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.

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 cities are hiring for Data Annotation Engineer jobs? Cities with the most Data Annotation Engineer job openings:
What states have the most Data Annotation Engineer jobs? States with the most job openings for Data Annotation Engineer jobs include:
Infographic showing various Data Annotation Engineer job openings in the United States as of May 2026, with employment types broken down into 33% As Needed, and 67% Part Time. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $147,461 per year, or $70.9 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 highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data for their autonomous driving system, working closely with engineering teams to ensure high-quality data 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.