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Data Annotation Engineer Jobs in Santa Clara, CA

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Experience with data annotation tools, dataset management, and augmentation techniques ... Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

Familiarity with annotation tools and AI data workflows. * Experience working with Product, Engineering, Research, or Vendor Management teams. * Knowledge of reporting, dashboards, workflow ...

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

$172 - $304/hr

Collaborate with ML engineers to design and integrate ML‐driven data annotation (pre‐labeling, autolabeling, active learning loops), helping us move from human‐only to machine‐led labeling at ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

Oversee the entire data lifecycle from client intake and annotation workflow design to delivery * Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate ...

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

... data annotation efforts are scalable, high-quality, and aligned with the needs of our research and product teams. You will collaborate closely with researchers, data scientists, ML engineers, and ...

Cerebras

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255 - $325/hr

Oversee the entire data lifecycle from client intake and annotation workflow design to delivery * Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Experience with data annotation tools, dataset management, and augmentation techniques ... Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

Intuitive

Senior AI Data Science Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns ... Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Santa Clara, CA

Data Annotation Engineer information

See Santa Clara, CA salary details

$60K

$171.8K

$229.6K

How much do data annotation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data annotation engineer in Santa Clara, CA is $171,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $228,400.00 per year, depending on experience, location, and employer.

What is a data annotation engineer?

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 as a data annotation engineer?

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 is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

What are popular job titles related to Data Annotation Engineer jobs in Santa Clara, CA?

For Data Annotation Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Data Annotation Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Data Annotation Engineer jobs?

Cities near Santa Clara, CA with the most Data Annotation Engineer job openings:

Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 68% Full Time, 9% Part Time, and 23% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $174,278 per year, or $83.8 per hour.

Helix AI Engineer, Data Infrastructure

Figure

San Jose, CA • On-site

$150K - $400K/yr

Full-time

Re-posted 6 days ago

Job description

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It's time to build.
Figure's vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities

  • Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
  • Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
  • Implement optimal data transmission and storage solutions for all stages of Figure's data pipeline from recording to neural network training
  • Work together with AI researchers to support new kinds of data workflows

Requirements

  • Strong software engineering fundamentals
  • Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
  • Minimum of 4 years of professional, full-time experience building reliable backend systems
  • Experience with Linux and command line tools
  • Experience with Python
  • Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications

  • Experience managing cloud infrastructure (AWS, Azure, GCP)
  • Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
  • Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  • Experience building data annotation and dataset management tools.

The US base salary range for this full-time position is between $150,000 - $400,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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