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Data Annotation Jobs in Santa Clara, CA (NOW HIRING)

iMerit

Be Seen First

Video Data Annotator

San Jose, CA · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine ...

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All JobsData Annotation JobsData Annotation Jobs in Santa Clara, CA

Data Annotation information

See Santa Clara, CA salary details

$10

$28

$61

How much do data annotation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data annotation in Santa Clara, CA is $28.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $34.12 per hour, depending on experience, location, and employer.

What is a data annotation?

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 does a data annotation do?

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

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.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Santa Clara, CA?

The most popular types of Data Annotation jobs in Santa Clara, CA are:

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

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

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

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

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

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,596 per year, or $28.7 per hour.

Data Annotation Specialist

DYNA Robotics Inc

Redwood City, CA • On-site

Contractor

Re-posted 2 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)

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