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Remote Rn Data Abstractor Jobs in Los Angeles, CA

Insight Global

Vascular Data Abstractor

Los Angeles, CA · Remote

$30 - $35/hr

Insight Global is seeking a fully remote, VQI/Vascular Registry Data Abstractor to support a Healthcare AI client. This is a part-time opportunity working approximately 20 hours/week where candidates ...

Zócalo Health

RN Case Manager

Los Angeles, CA · Remote

$85K/yr

RN Case Manager Remote (Full Time) Compensation: $85,000 About Us Zócalo Health is a tech-enabled, community-oriented primary care organization serving people who have historically been underserved ...

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All JobsRemote Rn Data Abstractor JobsRemote Rn Data Abstractor Jobs in Los Angeles, CA

Remote Rn Data Abstractor information

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$8

$45

$77

How much do remote rn data abstractor jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for remote rn data abstractor in Los Angeles, CA is $45.52, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $53.89 per hour, depending on experience, location, and employer.

How much does a nurse abstractor make?

A remote RN data abstractor typically earns between $20 and $35 per hour, depending on experience, certifications, and the complexity of the data being handled. Annual salaries can range from approximately $40,000 to $70,000. Many roles also offer flexible schedules and require familiarity with electronic health records (EHR) systems.

What are the typical daily responsibilities of a Remote RN Data Abstractor?

As a Remote RN Data Abstractor, your daily responsibilities generally include reviewing electronic health records and extracting key clinical data according to specific project or regulatory guidelines. You'll input this information into secure databases, ensure accuracy, and follow up to clarify any ambiguous or incomplete documentation with healthcare providers. While you may work independently, periodic virtual meetings and collaboration with clinical quality teams or project managers are common. Staying organized and up-to-date with changing guidelines is also a key part of the role, making attention to detail and self-motivation particularly important.

What is a Remote RN Data Abstractor job?

A Remote RN Data Abstractor is a registered nurse who reviews and extracts clinical data from medical records for quality improvement, compliance, and research purposes. They work remotely, analyzing patient charts to ensure accuracy and adherence to healthcare guidelines. This role often requires experience with electronic health records (EHRs), attention to detail, and knowledge of medical coding and terminology. It is commonly used for quality reporting, accreditation, or clinical registry submissions.

What does an RN data abstractor do?

An RN data abstractor reviews and extracts relevant clinical information from medical records to ensure accurate data collection for research, quality improvement, or billing purposes. They typically use electronic health record systems and must have strong attention to detail and knowledge of medical terminology and coding standards.

How to become a nurse data abstractor?

To become a nurse data abstractor, you typically need a registered nurse (RN) license and experience in clinical documentation or medical records. Familiarity with electronic health record (EHR) systems and attention to detail are essential, and some employers may require certification in health information management or coding. Strong analytical skills and knowledge of healthcare data standards are also beneficial.

What is the highest paid remote nursing job?

The highest paid remote nursing jobs typically include roles such as Nurse Informaticists, Nurse Consultants, and Clinical Data Managers, with salaries often exceeding $100,000 annually. These positions require specialized skills in healthcare data, informatics, and certifications like ANCC or ANCC Informatics Certification, and they often involve working independently or with healthcare organizations to analyze and improve patient care data remotely.

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

To excel as a Remote RN Data Abstractor, you need a current RN license, strong clinical knowledge, and experience with medical record review and data abstraction. Familiarity with electronic health records (EHRs), medical coding systems such as ICD-10, and clinical quality measures is highly beneficial. Strong attention to detail, time management, and effective written communication are crucial soft skills in this remote position. These competencies ensure accurate and efficient data collection, support compliance with regulatory standards, and enable seamless collaboration across distributed healthcare teams.

What are the most commonly searched types of Rn Data Abstractor jobs in Los Angeles, CA? The most popular types of Rn Data Abstractor jobs in Los Angeles, CA are:
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Remote Rn Data Abstractor jobs near you
Infographic showing various Remote Rn Data Abstractor job openings in Los Angeles, CA as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,678 per year, or $45.5 per hour.
Vascular Data Abstractor

Vascular Data Abstractor

Insight Global

Los Angeles, CA • Remote

$30 - $35/hr

Part-time

Medical, Dental, Vision

Posted 5 days ago

Job description

JOB DESCRIPTION

Insight Global is seeking a fully remote, VQI/Vascular Registry Data Abstractor to support a Healthcare AI client. This is a part-time opportunity working approximately 20 hours/week where candidates will apply their clinical registry expertise to review, abstract, and validate patient data while partnering closely with AI product teams. This role is highly detail-oriented and analytical, requiring a strong understanding of registry guidelines, clinical documentation, and abstraction workflows. Laptop and equipment will be provided.
Responsibilities:
• Abstract clinical cases for Vascular registries (VQI)
• Review patient charts within the EHR to identify required data elements based on current registry specifications
• Evaluate and validate AI-generated abstraction recommendations and input finalized data into the abstraction workflow
• Accurately document data sources and ensure compliance with registry standards and guidelines
• Provide clear explanations of abstraction decisions and clinical reasoning to internal product teams to enhance AI performance
• Identify inconsistencies or gaps between AI recommendations and registry best practices
• Partner with GTM and product teams to provide subject matter expertise and critique clinical presentations


REQUIRED SKILLS AND EXPERIENCE

• 3+ years of hands-on clinical data abstraction experience working in the VQI Registry
• Experience working with VQI or vascular registries and interpreting registry data definitions/specifications
• Familiarity with EHR systems and clinical documentation workflows
• Strong attention to detail and ability to explain abstraction logic and decision-making