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Remote Core Measures Abstractor Jobs in California

Picarro, Inc

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time The Opportunity Picarro ... core measurement challenges: detecting, attributing, localizing, and quantifying trace gases and ...

Arrivia

Remote Senior Marketing Specialist

San Diego, CA · Remote

$82K - $102K/yr

Measure results, spot trends, and feed them into the next optimization. * Testing and Improvement ... This is the core of the role. * Experience across lifecycle, product, and promotional marketing.

Arrivia

Remote Senior Marketing Specialist

San Diego, CA · Remote

$82K - $102K/yr

Measure results, spot trends, and feed them into the next optimization. * Testing and Improvement ... This is the core of the role. * Experience across lifecycle, product, and promotional marketing.

Lever Demo 2

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

... measure the impact of its experiments Maintain core reports and dashboard for all teams Coach all ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Anza

Software Engineer, Security

San Francisco, CA · Remote

$180K - $300K/yr

... 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

59 Pines

Remote Marketing Strategist

Laguna Beach, CA · Remote

$80K - $120K/yr

You've sharpened our core messaging and positioning for the launch push * You've stood up (or ... The team shares one clear picture of the marketing priorities and how we'll measure them What You ...

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

As of Sep 3, 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.

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Remote Core Measures Abstractor jobs near you
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.

Staff Software Engineer, Ads Measurement Products

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

What you'll do: 
  • Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
  • Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
  • Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
  • Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
  • Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
  • Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
  • Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.
What we're looking for:
  • BS+ in Computer Science (or related field) or equivalent practical experience.
  • 8+ years of professional software engineering experience, with a focus on dataintensive systems.
  • Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
  • Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
  • Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
  • Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
  • Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
  • Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
  • Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.

In-Office Requirement 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

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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