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Data Extraction Nurse Remote Jobs (NOW HIRING)

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Monitor, manage, validate and test data extraction, movement, transformation, loading ...

Sr Engineer, Data

$108K - $147K/yr

This role is heavily focused on Clarity query development, script writing, and data extraction ... MD, RN, LPN, etc.) ONE CERTIFICATION PER FIELD * Clarity certifications Desired Work Experience 5 ...

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Data Extraction Nurse Remote information

What are the typical daily responsibilities for a remote Data Extraction Nurse, and how do they collaborate with other healthcare professionals?

As a remote Data Extraction Nurse, your day-to-day tasks often involve reviewing patient charts, extracting key clinical data, and entering information into electronic health record systems or databases. You may regularly communicate with physicians, care coordinators, and quality assurance teams to clarify documentation or ensure accuracy. Collaboration is often virtual, using secure messaging or video calls, and attention to detail and strong organizational skills are essential to manage the volume of records efficiently. While the work is largely independent, teamwork and clear communication are crucial for resolving discrepancies and maintaining data integrity.

What are the key skills and qualifications needed to thrive as a Data Extraction Nurse in a remote setting, and why are they important?

To thrive as a Data Extraction Nurse in a remote role, you need a valid RN license, strong clinical knowledge, and experience in medical record review. Proficiency with electronic health records (EHRs), data extraction tools, and health information management systems is typically required. Keen attention to detail, time management, and effective virtual communication skills help you excel in this position. These competencies are crucial for ensuring accurate, timely extraction of clinical data that supports quality patient care and regulatory compliance.

What is the difference between Data Extraction Nurse Remote vs Data Analyst Remote?

AspectData Extraction Nurse RemoteData Analyst Remote
Required CredentialsRN license, healthcare certificationsBachelor's in Data Science, Statistics, or related field
Work EnvironmentRemote healthcare data managementRemote data analysis and reporting
Industry UsageHealthcare, medical recordsVarious industries including finance, marketing
Common Search IntentHealthcare data extraction jobsRemote data analysis roles

While both roles involve working with data remotely, Data Extraction Nurse Remote focuses on healthcare data and requires nursing credentials, whereas Data Analyst Remote involves analyzing diverse data sets across industries. Understanding these differences helps job seekers find roles aligned with their skills and certifications.

What is a Data Extraction Nurse working remotely?

A Data Extraction Nurse working remotely is a registered nurse who reviews patient medical records and extracts relevant clinical data for research, quality improvement, or regulatory compliance purposes. They typically work from home, accessing electronic health records (EHRs) securely to identify and document specific information, such as diagnoses, treatments, and outcomes. This role supports healthcare organizations, researchers, or insurance companies in gathering accurate data for various projects while maintaining patient confidentiality. Strong attention to detail, proficiency with medical terminology, and experience with EHR systems are important for this position.
Infographic showing various Data Extraction Nurse Remote job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Brooklyn, NY โ€ข Remote

$45/hr

Part-time

Posted 11 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.