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Part Time Remote Core Measures Data Abstractor Jobs in Manhattan, NY

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

YO AI Labs

AI Consulting Expert - Remote

New York, NY · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Mindrift

Freelance Presentation Designer

New York, NY · Remote

$50/hr

This part-time remote opportunity is ideal for creative professionals with hands-on experience in ... Translate complex data into clear visual storytelling with a strong focus on minimalism and precise ...

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All JobsCore Measures Data Abstractor JobsPart Time Remote Core Measures Data Abstractor JobsPart Time Remote Core Measures Data Abstractor Jobs in Manhattan, NY

Part Time Remote Core Measures Data Abstractor information

See Manhattan, NY salary details

$15

$27

$43

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

As of Sep 6, 2026, the average hourly pay for part time remote core measures data abstractor in Manhattan, NY is $27.96, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $35.29 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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For Part Time Remote Core Measures Data Abstractor jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Core Measures Data Abstractor jobs in Manhattan, NY look for?

The top searched job categories for Part Time Remote Core Measures Data Abstractor jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Part Time Remote Core Measures Data Abstractor jobs?

Cities near Manhattan, NY with the most Part Time Remote Core Measures Data Abstractor job openings:

Part Time Remote Core Measures Data Abstractor jobs near you
Infographic showing various Part Time Remote Core Measures Data Abstractor job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $58,147 per year, or $28 per hour.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

New York, NY • On-site, Remote

$20/hr

Part-time

Re-posted 20 days ago

Job description

Please submit your resume in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
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.
While each project involves unique tasks, contributors may:
  • 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.

What we look for
This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:
  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • 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;
  • Strong written and spoken English (C1+).

How it works
Apply → Pass qualification(s) → Join a project (when available) → Complete tasks → Get paid
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;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation
Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.

Apply