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Remote Core Measures Abstractor Jobs in California

... security measures. You will work closely with core developers, ecosystem teams, and external ... Proficient in English, sufficient for success in a remote and asynchronous work environment

Ideally looking for local candidates but remote candidates will be considered. Responsibilities ... Creates marketing assets aligned to CVAs, key data, and core marketing messages, with Brand ...

TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven ... This position is primarily remote, but location-based requirements may apply. If the selected ...

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Remote Core Measures Abstractor information

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

As of Aug 21, 2026, the average hourly pay for remote core measures abstractor in California is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $22.55 per hour, depending on experience, location, and employer.

What is a remote core measures abstractor?

A Remote Core Measures Abstractor is a healthcare professional who reviews medical records and extracts specific data elements to ensure hospitals comply with core quality measures set by organizations like The Joint Commission and the Centers for Medicare & Medicaid Services (CMS). Working remotely, they analyze patient charts, abstract required information, and input data into electronic systems for reporting and quality improvement. Their work helps healthcare organizations track performance, maintain accreditation, and improve patient care outcomes.

How do remote core measures abstractors typically collaborate with healthcare teams while working offsite?

Remote Core Measures Abstractors frequently interact with clinical staff, quality improvement teams, and data analysts through digital communication tools such as secure email, video conferencing, and electronic health record (EHR) messaging. Despite working offsite, they participate in virtual meetings to discuss documentation issues, clarify patient records, and ensure compliance with regulatory standards. Proactive communication and strong organizational skills are essential, as abstractors often need to coordinate across time zones and maintain accurate, timely data submissions to support hospital quality initiatives.

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

To thrive as a Remote Core Measures Abstractor, you need a solid background in nursing or health information management, detailed knowledge of clinical guidelines, and experience with medical record review, often supported by an RN license or RHIT/RHIA certification. Familiarity with electronic health records (EHRs), quality reporting systems, and abstraction software is typically required. Strong analytical skills, attention to detail, and effective written communication set top performers apart in this role. These competencies ensure accurate data abstraction, support regulatory compliance, and contribute to quality improvement initiatives in healthcare organizations.

What are popular job titles related to Remote Core Measures Abstractor jobs in California?

For Remote Core Measures Abstractor jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Core Measures Abstractor jobs in California look for?

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What cities in California are hiring for Remote Core Measures Abstractor jobs?

Cities in California with the most Remote Core Measures Abstractor job openings:

Infographic showing various Remote Core Measures Abstractor job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $44,138 per year, or $21.2 per hour.

Data Scientist II, Infrastructure

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it's increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.

We're looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you'll partner with engineering and cross-functional teams to make Pinterest's infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You'll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you'll do:

In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:

  • Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest's infrastructure systems.
  • Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
  • Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.
  • Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
  • Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
  • Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.
  • Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability.

What we're looking for:

  • Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.
  • Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.
  • Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.
  • Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.
  • Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations.
  • Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.
  • Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment.
  • Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.

Relocation Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

In-Office Requirement Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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