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Home Based Data Annotation Jobs in California (NOW HIRING)

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Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

About Turing Based in San Francisco, California, Turing is the world's leading research accelerator ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

Cerebras

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255 - $325/hr

About Turing Based in San Francisco, California, Turing is the world's leading research accelerator ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

Tapestry

Data Science Manager

Mountain View, CA

Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes ... Experience with electric power grid data, and physics based understanding of electrical networks ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes ... Experience with electric power grid data, and physics based understanding of electrical networks ...

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All JobsHome Based Data Annotation JobsHome Based Data Annotation Jobs in California

Home Based Data Annotation information

Can you do data annotation from home?

Home-based data annotation jobs are common and typically involve labeling data such as images, text, or audio using specialized tools. These roles often require a reliable internet connection, attention to detail, and sometimes specific training or guidelines, making remote work feasible for qualified candidates.

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

How much do home based data annotation jobs pay?

Home-based data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Some positions may offer per-task payments or project-based rates, with experienced annotators earning higher wages. These jobs often require attention to detail and familiarity with annotation tools or platforms.
What are the most commonly searched types of Data Annotation jobs in California? The most popular types of Data Annotation jobs in California are:
What are popular job titles related to Home Based Data Annotation jobs in California? For Home Based Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Home Based Data Annotation jobs in California look for? The top searched job categories for Home Based Data Annotation jobs in California are:
What cities in California are hiring for Home Based Data Annotation jobs? Cities in California with the most Home Based Data Annotation job openings:
Home Based Data Annotation jobs near you

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

Dorado

San Francisco, CA • On-site

$210 - $250/hr

Other

Posted 29 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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