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Remote Rn Data Abstractor Jobs in Toronto, ON (NOW HIRING)

Fonemed

Virtual Care Registered Nurse (RN)

Toronto, ON · Remote

Virtual Care Registered Nurse Work from home as a Registered Nurse We are looking for experienced ... data. Our operation runs 24/7/365, therefore you will work within a shift work schedule that will ...

Mercor

Registered Nurse - Research Specialist

Toronto, ON · Remote

CA$60 - CA$100/hr

Remote Role Responsibilities * Design questions related to the Registered Nurse occupation using your professional experience. * Collaborate with one of the world's top AI companies to enhance ...

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The role will be remote. Why Join Levio? * Work on complex,high impactdigital transformation ... Collaborate with AI Architects, Developers, and Data Engineers across delivery teams * Mentor ...

CanadaHelps

Manager, Compliance & Privacy

Toronto, ON · Remote

CA$95K - CA$105K/yr

This position is remote but may require to be in-office in Toronto for team collaborations. What ... Partner with DevOps & Security on data protection controls, security-linked compliance requirements ...

SNC-Lavalin

Project Engineering Manager

Toronto, ON · On-site +1

... remote northern highways. Please note that this job posting is intended for you to express your ... Registered as a Professional Engineer (P.Eng.) in Ontario. * Proven expertise in managing complex ...

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Remote Rn Data Abstractor information

See Toronto, ON salary details

$9

$33

$59

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

As of Aug 10, 2026, the average hourly pay for remote rn data abstractor in Toronto, ON is $33.42, according to ZipRecruiter salary data. Most workers in this role earn between $25.69 and $38.08 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Remote RN Data Abstractor?

As a Remote RN Data Abstractor, your daily responsibilities generally include reviewing electronic health records and extracting key clinical data according to specific project or regulatory guidelines. You'll input this information into secure databases, ensure accuracy, and follow up to clarify any ambiguous or incomplete documentation with healthcare providers. While you may work independently, periodic virtual meetings and collaboration with clinical quality teams or project managers are common. Staying organized and up-to-date with changing guidelines is also a key part of the role, making attention to detail and self-motivation particularly important.

What is a Remote RN Data Abstractor?

A Remote RN Data Abstractor is a registered nurse who reviews and extracts clinical data from medical records for quality improvement, compliance, and research purposes. They work remotely, analyzing patient charts to ensure accuracy and adherence to healthcare guidelines. This role often requires experience with electronic health records (EHRs), attention to detail, and knowledge of medical coding and terminology. It is commonly used for quality reporting, accreditation, or clinical registry submissions.

What are the key skills and qualifications needed to thrive as a Remote RN Data Abstractor?

To excel as a Remote RN Data Abstractor, you need a current RN license, strong clinical knowledge, and experience with medical record review and data abstraction. Familiarity with electronic health records (EHRs), medical coding systems such as ICD-10, and clinical quality measures is highly beneficial. Strong attention to detail, time management, and effective written communication are crucial soft skills in this remote position. These competencies ensure accurate and efficient data collection, support compliance with regulatory standards, and enable seamless collaboration across distributed healthcare teams.

What are popular job titles related to Remote Rn Data Abstractor jobs in Toronto, ON? For Remote Rn Data Abstractor jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Rn Data Abstractor jobs in Toronto, ON look for? The top searched job categories for Remote Rn Data Abstractor jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Rn Data Abstractor jobs? Cities near Toronto, ON with the most Remote Rn Data Abstractor job openings:
Remote Rn Data Abstractor jobs near you
Infographic showing various Remote Rn Data Abstractor job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,513 per year, or $33.4 per hour.

Registered Nurse - Clinical Documentation

Mercor

Toronto, ON • Remote

CA$60 - CA$80/hr

Full-time

Re-posted 9 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Registered Nurses (Data labelling and training)
Type: Contract
Compensation: $60–$80/hour
Location: Remote

Role Responsibilities

  • Review and assess clinical documentation for accuracy, completeness, and quality.
  • Analyze healthcare workflows and recommend process improvements.
  • Interpret patient records and clinical notes to support product development.
  • Identify documentation gaps, inconsistencies, and edge cases.
  • Collaborate with product, engineering, and operations teams to refine AI-driven healthcare tools.
  • Ensure adherence to healthcare regulations, policies, and best practices.

Qualifications

Must-Have

  • Active Registered Nurse (RN) license.
  • 3–5+ years of clinical nursing experience.
  • Strong understanding of clinical documentation and healthcare workflows.
  • Experience working with EHR systems (Epic, Cerner, Meditech, etc.).
  • Excellent analytical, communication, and problem-solving skills.

Preferred

  • Experience in CDI, case management, utilization review, or quality improvement.
  • Exposure to healthcare technology, AI tools, or digital health products.
  • Ability to collaborate effectively with cross-functional teams.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.