1

Ai Data Annotation Jobs in California (NOW HIRING)

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

Expert Operations

Mountain View, CA · On-site

$80K - $130K/yr

Experience working on AI data projects involving annotation, model evaluation, RLHF, preference ranking, or human feedback is highly preferred. * Excellent communication and interpersonal skills with ...

Experience working on AI data projects involving annotation, model evaluation, RLHF, preference ranking, or human feedback is highly preferred. * Excellent communication and interpersonal skills with ...

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Showing results 21-40

Ai Data Annotation information

What is an AI data annotation?

An AI Data Annotation job involves labeling or tagging data, such as text, images, audio, or video, to train machine learning models. Annotators ensure that data is accurately categorized so AI systems can learn to recognize patterns and make predictions. This work is crucial for improving AI applications like self-driving cars, chatbots, and image recognition software. It often requires attention to detail and familiarity with specific annotation tools.

What does an AI data annotation do?

As an AI Data Annotator, your typical day involves labeling and tagging data such as images, audio, or text according to specific project guidelines, often using specialized annotation software. You may work independently or as part of a remote or on-site team, collaborating with data scientists and quality assurance specialists to ensure consistency and accuracy. Regular feedback sessions and quality checks are common to maintain high annotation standards. The role can be repetitive, but attention to detail and clear communication with team members help create datasets that are crucial for training effective AI systems.

What are the key skills and qualifications needed to thrive in AI data annotation?

To excel in AI Data Annotation, you need strong attention to detail, data accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or similar platforms is often required, and some employers may value basic programming or machine learning course certifications. Excellent communication, the ability to follow detailed guidelines, and time management are valuable soft skills in this role. These skills ensure the production of high-quality annotated datasets, which are critical for training reliable AI and machine learning models.

What are the most commonly searched types of Ai Data Annotation jobs in California?

The most popular types of Ai Data Annotation jobs in California are:

What are popular job titles related to Ai Data Annotation jobs in California?

For Ai Data Annotation jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Ai Data Annotation jobs?

Cities in California with the most Ai Data Annotation job openings:

Infographic showing various Ai Data Annotation job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 30% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Annotation Specialist Redwood City, CA

Redwood City, CA • On-site

$60 - $80/hr

Other

Posted 7 days ago


Job description

Join us to shape the next frontier of AI-driven robotics!

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.

Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.

The Role:

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.

What You'll Do

  • 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

What You'll Bring

  • 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

Bonus Points For

  • 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)
#J-18808-Ljbffr