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Part Time Remote Core Measures Data Abstractor Jobs in Houston, TX

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 ...

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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Part Time Remote Core Measures Data Abstractor information

See Houston, TX salary details

$13

$24

$37

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

As of Jul 13, 2026, the average hourly pay for part time remote core measures data abstractor in Houston, TX is $24.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $30.53 per hour, depending on experience, location, and employer.

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 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.

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.

What are popular job titles related to Part Time Remote Core Measures Data Abstractor jobs in Houston, TX? For Part Time Remote Core Measures Data Abstractor jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Core Measures Data Abstractor jobs in Houston, TX look for? The top searched job categories for Part Time Remote Core Measures Data Abstractor jobs in Houston, TX are:
What cities near Houston, TX are hiring for Part Time Remote Core Measures Data Abstractor jobs? Cities near Houston, TX with the most Part Time Remote Core Measures Data Abstractor job openings:
Infographic showing various Part Time Remote Core Measures Data Abstractor job openings in Houston, TX as of July 2026, with employment types broken down into 2% Locum Tenens, 30% Internship, 20% Full Time, 3% Part Time, 43% Nights, and 2% Summer. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $50,315 per year, or $24.2 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Houston, TX • Remote

$37/hr

Part-time

Posted yesterday


Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits

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

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.