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Part Time Remote Rn Data Abstractor Jobs in Irving, 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 ...

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Part Time Remote Rn Data Abstractor information

See Irving, TX salary details

$7

$40

$69

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

As of Jun 29, 2026, the average hourly pay for part time remote rn data abstractor in Irving, TX is $40.56, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $48.03 per hour, depending on experience, location, and employer.

How to become a clinical data abstractor with no experience?

To become a clinical data abstractor, including part-time remote Rn data abstractors, individuals should gain knowledge of medical terminology, healthcare data, and electronic health records through online courses or certifications. Prior experience in healthcare or data entry can be helpful, but training is often provided by employers, and strong attention to detail and familiarity with data management tools are essential for success.

How much do nurse abstractors make?

Nurse abstractors, including part-time remote Rn data abstractors, typically earn between $20 and $35 per hour, depending on experience, location, and employer. Many roles are freelance or contract-based, with some earning additional benefits or bonuses for accuracy and efficiency.

Can abstractors work remotely?

Part Time Remote Rn Data Abstractors can typically work remotely, as their tasks involve reviewing and abstracting medical records which can be done from a home environment. Successful remote abstractors usually have strong computer skills, familiarity with electronic health records (EHR) systems, and reliable internet access. Flexibility in scheduling is common in remote roles, but specific requirements may vary by employer.

How to get into data abstraction as a nurse?

To become a part-time remote RN data abstractor, nurses should gain experience in medical record review and coding, familiarize themselves with electronic health record systems, and develop strong attention to detail. Certification in health information management or coding, such as CPC or CCS, can enhance job prospects. Many positions require prior clinical experience and proficiency with data management tools.

What is the difference between Part Time Remote Rn Data Abstractor vs Part Time Remote Medical Records Coordinator?

AspectPart Time Remote Rn Data AbstractorPart Time Remote Medical Records Coordinator
CredentialsRN license, certification in medical data abstractionTypically healthcare experience, sometimes certification in records management
Work EnvironmentRemote, healthcare data-focusedRemote, administrative and record management
Industry UsageHospitals, research organizations, clinical trialsHospitals, clinics, insurance companies
Job FocusExtracting and abstracting patient data from recordsManaging, organizing, and maintaining medical records

While both roles are remote and involve healthcare data, the Part Time Remote Rn Data Abstractor focuses on extracting patient information, requiring RN credentials. In contrast, the Part Time Remote Medical Records Coordinator handles record organization and management, often with administrative experience. Understanding these differences helps job seekers find the right position aligned with their skills and certifications.

What are popular job titles related to Part Time Remote Rn Data Abstractor jobs in Irving, TX? For Part Time Remote Rn Data Abstractor jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Rn Data Abstractor jobs in Irving, TX look for? The top searched job categories for Part Time Remote Rn Data Abstractor jobs in Irving, TX are:
What cities near Irving, TX are hiring for Part Time Remote Rn Data Abstractor jobs? Cities near Irving, TX with the most Part Time Remote Rn Data Abstractor job openings:

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX โ€ข Remote

$45/hr

Part-time

Posted 2 days ago


Job description

Mindrift is looking for highly skilled Senior 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.

This is a freelance role for a Tendem project. As a Senior 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.

Requirements:

  • At least 5+ years 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.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • 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)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • 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)

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.

Compensation

On this project, contributors can earn up to $45 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.