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Data Annotation Jobs in San Ramon, CA (NOW HIRING)

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems. * Design labeling strategies and tooling for automated annotation, QA ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data generation or evaluation dataset design. * Background working at a fast-moving AI or research-driven ...

Hark

Data Collection

San Jose, CA

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data generation or evaluation dataset design. * Background working at a fast-moving AI or research-driven ...

General Motors

Senior ML Systems Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ML model services , which powers data-annotation pipelines and machine-led training data solutions at ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... data processing, training, evaluation, and deployment into real-world and real-time systems. • Design labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

Mill

AI Engineer, Computer Vision

San Bruno, CA

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training ...

Mill

AI Engineer, Computer Vision

San Bruno, CA

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training ...

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training ...

Mill

AI Engineer, Computer Vision

San Bruno, CA

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training ...

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Showing results 1-20

All JobsData Annotation JobsData Annotation Jobs in San Ramon, CA

Data Annotation information

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What job categories do people searching Data Annotation jobs in San Ramon, CA look for? The top searched job categories for Data Annotation jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Annotation jobs? Cities near San Ramon, CA with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in San Ramon, CA as of June 2026, with employment types broken down into 3% As Needed, 26% Full Time, 65% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Helix AI Engineer, Data Infrastructure

Helix AI Engineer, Data Infrastructure

Figure

San Jose, CA • On-site

$150K - $350K/yr

Full-time

Posted 24 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 - $350,000 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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