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

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$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 ...

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 ...

The ideal candidate will bring a strong mix of technical leadership, expertise in data curation and annotation processes, and deep analytical skills. You will collaborate closely with cross ...

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 ...

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 ...

Be Seen First

Follow annotation guidelines while maintaining high accuracy and quality standards. * Collaborate with project teams to improve AI model performance through high-quality data labeling. Required ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Showing results 41-60

Data Annotation information

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.

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 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 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.

What are popular job titles related to Data Annotation jobs in San Ramon, CA? For Data Annotation jobs in San Ramon, CA, the most frequently searched job titles are:
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:
Infographic showing various Data Annotation job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Family Medicine / Primary Care Physician/MD (San Francisco based, Talent Network) Mercor · On s[...]

Dorado

San Francisco, CA • On-site

$210 - $250/hr

Other

Re-posted 2 days ago


Job description

Family Medicine / Primary Care Physician/MD (San Francisco based, Talent Network)

About the Role Mercor is taking applications for Family Medicine / Primary Care Physicians (PCPs)/MDs (general) on behalf of a healthcare AI partner building advanced clinical decision-support tools. We hire multiple experts on this role every few weeks. In this role you you will leverage your clinical expertise to review, annotate, and validate medical data, contributing directly to the development of safe, accurate, and explainable medical AI systems. This is an in person position based in San Francisco.

Key Responsibilities

Clinical Data Annotation: Review and label clinical text, EHR data, and case notes for use in AI model training. Identify and validate medical entities, diagnoses, treatment pathways, and outcomes relevant to family medicine.

Quality Review & Validation: Audit annotated datasets for clinical accuracy and consistency. Cross-check outputs generated by AI models to ensure medical soundness.

Knowledge Contribution: Provide expert input on guidelines for annotation, taxonomy development, and edge case definitions. Collaborate with data scientists and engineers to improve AI understanding of medical context.

Model Evaluation & Feedback: Evaluate AI-generated recommendations or clinical summaries, flag inaccuracies, and provide structured feedback for iterative model refinement.

Documentation & Training Support: Contribute to the creation of clinical documentation standards and assist in developing onboarding materials for new annotators.

Requirements

MD or DO degree with specialization in Family Medicine or Internal Medicine.

Board-certified or board-eligible in Family Medicine or Internal Medicine.

Academic hospital experience preferred

2+ years of clinical experience in in-patient or hospitalist care settings

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