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Data Annotation Engineer Jobs (NOW HIRING)

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Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

Collaborate with engineering and data teams to refine annotation guidelines and improve model performance * Meet production targets and deadlines while maintaining high-quality standards * Stay ...

ICON Consultants, LP

Data Annotator

San Francisco, CA · On-site

... engineering and data teams to refine annotation guidelines and improve model performance • Meet production targets and deadlines while maintaining high-quality standards • Stay current with ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

They are seeking a Data Operations Engineer to own and operate the internal dataset library ... with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will manage the internal dataset library and collaborate with various ... with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will own and operate the internal dataset library, ensuring fast and ... with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Sunday

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

They are seeking a Technical Program Manager, Data Engine to manage data annotation and collection ... operators, engineering, and support • Excitement for the growth and development of AI data • ...

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Data Annotation Engineer information

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$51.5K

$147.5K

$197K

How much do data annotation engineer jobs pay per year?

As of Jun 19, 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 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.

More about Data Annotation Engineer jobs
What cities are hiring for Data Annotation Engineer jobs? Cities with the most Data Annotation Engineer job openings:
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Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 7% Part Time, and 29% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.
Data Annotator (Autonomous Vehicle / AI)

Data Annotator (Autonomous Vehicle / AI)

Icon Consultants

San Francisco, CA • On-site

$32 - $39/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 6 days ago

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Job description

Data Annotator (Autonomous Vehicle / AI)

Location: San Francisco, CA 94103
Schedule: Hybrid, Monday - Friday 8AM - 5PM
Duration: 6 months (possible extension)
Pay Rate: $32.00 - $39.00 per hour (depending on experience)

Position Overview

We are seeking a highly skilled Data Annotator to support the development of advanced autonomous driving systems. In this role, you will convert complex sensor data into high-quality training datasets used to power machine learning models. This position plays a critical role in ensuring the safety, accuracy, and performance of AI-driven solutions.

The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and understands the importance of precision in data labeling for real-world applications.

Key Responsibilities

  • Annotate 3D sensor data (LiDAR/point cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation
  • Identify, label, and classify objects and environmental elements according to defined taxonomies and project guidelines
  • Label road features, infrastructure, and traffic elements to support the creation of high-definition (HD) maps
  • Perform detailed quality assurance reviews to ensure data accuracy, consistency, and completeness
  • Collaborate with engineering and data teams to refine annotation guidelines and improve model performance
  • Meet production targets and deadlines while maintaining high-quality standards
  • Stay current with industry advancements in data annotation tools, AI/ML workflows, and data management practices

Basic Qualifications

  • Bachelor’s degree or equivalent experience
  • Minimum of 3 years of professional data annotation experience, including work with 3D datasets or autonomous driving applications
  • Hands-on experience with 2D and 3D annotation tools and platforms
  • Strong understanding of data management principles and basic data analysis concepts
  • Demonstrated ability to follow detailed instructions and identify subtle inconsistencies or anomalies in datasets
  • Strong spatial reasoning skills and ability to interpret complex 3D environments
  • Ability to manage multiple tasks and adapt to changing project requirements

Preferred Qualifications

  • Direct experience in autonomous vehicle data annotation
  • Proficiency working with LiDAR or point cloud data systems
  • Advanced understanding of semantic segmentation and 3D object classification

Additional Requirements

  • Ability to work on-site five days per week
  • Willingness to meet strict production benchmarks and quality metrics
  • Successful completion of a background check

Impact of the Role

This position contributes directly to the development of safe and reliable autonomous driving technologies. The quality and accuracy of annotated data are foundational to the performance of AI systems, making this role essential to advancing real-world applications.