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Part Time Remote Core Measures Data Abstractor Jobs

The Pennsylvania State University

$30/hr

AND POSITION REQUIREMENTS Videographer - Lion Health Lab (Part-Time, Remote) AND POSITION ... We value belonging as a core strength and an essential element of the university's teaching ...

TestPros

SOC 2 Assessor (Part time & Remote)

Sterling, VA · On-site +1

$50 - $90/hr

Ensuring accurate, complete, and timely data processing. * Confidentiality: Protecting confidential ... Produce and review key performance indicators for implemented security measures and distribute KPIs.

Highmark Health

Dietitian - Part-Time - Remote

$44.13/hr

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In ...

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How much do part time remote core measures data abstractor jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for part time remote core measures data abstractor in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What is a part time remote core measures data abstractor?

A Part Time Remote Core Measures Data Abstractor is a healthcare professional responsible for reviewing medical records and extracting specific data related to core measures, which are standardized performance metrics used to evaluate the quality of patient care in hospitals. They work remotely and on a part-time basis, using specialized software to collect and report data to ensure healthcare organizations comply with regulatory requirements. This role requires strong attention to detail, knowledge of medical terminology, and familiarity with electronic health records.

How does a part time remote core measures data abstractor typically collaborate with healthcare teams while working remotely?

As a Part Time Remote Core Measures Data Abstractor, collaboration with healthcare teams is often facilitated through secure digital platforms, such as electronic health record (EHR) systems, email, and video conferencing tools. You will regularly communicate with clinical staff, quality improvement teams, and sometimes IT personnel to clarify documentation, resolve data discrepancies, and ensure accurate abstraction of required measures. Strong written and verbal communication skills are essential, as much of the collaboration is asynchronous and relies on clear, concise exchanges. Despite working remotely, you are considered an integral part of the quality and compliance team, contributing directly to organizational performance goals.

What are the key skills and qualifications needed to thrive as a part time remote core measures data abstractor, and why are they important?

To thrive as a Part Time Remote Core Measures Data Abstractor, you need a solid understanding of clinical documentation, medical terminology, and core measure abstraction, typically supported by a healthcare-related degree or clinical background. Familiarity with electronic health records (EHRs), data abstraction software, and sometimes certifications like Certified Clinical Data Abstractor (CCDA) are often required. Attention to detail, analytical thinking, and strong time management are crucial soft skills for ensuring data accuracy and meeting deadlines while working independently. These skills ensure precise data collection and reporting, which directly impact hospital quality metrics, compliance, and patient care outcomes.

What is the difference between Part Time Remote Core Measures Data Abstractor vs Part Time Remote Medical Records Reviewer?

AspectPart Time Remote Core Measures Data AbstractorPart Time Remote Medical Records Reviewer
CredentialsTypically requires healthcare-related certifications, training in data abstractionRequires medical record review experience, possibly healthcare certifications
Work EnvironmentRemote, focused on data abstraction from electronic health recordsRemote, reviewing and verifying medical records for accuracy
Employer & IndustryHospitals, healthcare organizations, quality improvement agenciesInsurance companies, healthcare providers, auditing firms
Search & Comparison IntentLooking for data abstraction roles in healthcare quality measuresSearching for medical record review positions in healthcare

The Part Time Remote Core Measures Data Abstractor focuses on extracting specific quality measure data from patient records, while the Part Time Remote Medical Records Reviewer verifies and assesses medical records for accuracy. Both roles are remote, healthcare-focused, and require healthcare-related knowledge, but they differ in their primary tasks and employer settings.

Can part time remote core measures data abstractors work remotely?

Part time remote core measures data abstractors typically work remotely, using electronic health records and data management tools. This role often offers flexible schedules and requires strong attention to detail and familiarity with healthcare data systems.

How do you become a part time remote core measures data abstractor?

To become a part-time remote core measures data abstractor, candidates typically need a background in healthcare, clinical data, or medical records, along with strong attention to detail and familiarity with electronic health record systems. Relevant skills include data entry, understanding of healthcare quality measures, and the ability to work independently with minimal supervision. Some positions may require certification or training in healthcare data abstraction or related fields.

How to become a part time remote core measures data abstractor?

To become a part-time remote core measures data abstractor, candidates typically need a background in healthcare or medical records, strong attention to detail, and proficiency with electronic health record systems. Relevant experience in data abstraction or coding, along with good communication skills, can improve job prospects. Many positions require completing training and passing assessments before working independently remotely.
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Part Time Remote Core Measures Data Abstractor jobs near you
Infographic showing various Part Time Remote Core Measures Data Abstractor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Dallas, TX • Remote

$23/hr

Part-time

Re-posted 2 days ago

Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.

Apply