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Data Annotation Engineer Jobs in California (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

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

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

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.

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136.30K - $163.60K/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. • ...

Nuro

Software Engineer, ML Data Infrastructure

Mountain View, CA · On-site

$136.30K - $163.60K/yr

... data annotation tools to support first-party and third-party labeling workforce to provide high ... Engineering, or a closely related field Preferred : • Strong proficiency in C++ or other high ...

Figure

Helix AI Engineer, Tooling

San Jose, CA · Hybrid

$150K - $250K/yr

Design and build intuitive web interfaces for robot data annotation, datasets visualization, and ... Strong software engineering fundamentals * Bachelor's or Master's degree in Computer Science ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... You'll own the full arc: leading technical discovery on demo calls, designing the annotation ...

Applied Intuition

Data Quality Specialist

Sunnyvale, CA · On-site

... annotation and labeling to support machine learning model training • Document quality standards and create comprehensive reports on data quality metrics • Collaborate with engineering teams to ...

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Data Annotation Engineer information

See California salary details

$50.8K

$145.5K

$194.4K

How much do data annotation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data annotation engineer in California is $145,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $193,400.00 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.
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Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in California as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,530 per year, or $70 per hour.

Data Annotation Specialist

DYNA Robotics Inc

Redwood City, CA • On-site

Contractor

Posted 25 days ago

Job description

Company Overview:
Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics-one manipulation skill at a time.
Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With $20mil+ in funding, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.
Position Overview:
As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system by annotating data on various diverse tasks performed by robots. Your will directly influence the performance of our robotic arms, helping them become more accurate and efficient. You will work closely with our engineering and research teams, ensuring data is labeled of the highest quality and meets required standards.
Key Responsibilities:
  • Manually annotate video sequences (boxes/masks/keypoints), track IDs, and label actions & temporal segments
  • Maintain data integrity by applying guidelines and QC checks; resolve ambiguities and fix errors
  • Leverage pre-annotation/autolabeling tools to boost throughput-validate/correct model prelabels and tune auto-tracking/segmentation pipelines

Qualifications:
  • Associate's or Bachelor's degree (or equivalent experience)
  • Strong attention to detail; consistent application of guidelines
  • Ability to follow detailed instructions and work independently with minimal supervision
  • Clear written communication and a collaborative attitude

Preferred Qualifications:
  • Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
  • Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction
  • Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets)
  • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)

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