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Per Diem Remote Rn Data Abstractor Jobs in Charleston, WV

Lyra Health

Clinical Care Navigator

Charleston, WV · Remote

$38.65/hr

Remote candidates must be physically located within the United States. Responsibilities * Using ... degree in nursing (RN). We're unable to provide supervised hours toward licensure. Candidates ...

Mars Men

VP, Analytics & Data

Charleston, WV · Remote

$141K - $181K/yr

Remote Work Environment - Our team is remote, offering full flexibility to work from home ... Time Off - 15 PTO days per year (prorated), 9 company holidays, plus your birthday off * Parental ...

Welo Data

Search Quality Rater - Spanish (US)

Charleston, WV · Remote

$16.50 - $21/hr

Our main goal for this project is to develop and augment AI data. To put it more plainly, you will ... Remote, US-based Hours: Minimum 10 hours per week, up to 29 hours per week; set your own schedule ...

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Per Diem Remote Rn Data Abstractor information

See Charleston, WV salary details

$7

$41

$70

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

As of Aug 7, 2026, the average hourly pay for per diem remote rn data abstractor in Charleston, WV is $41.06, according to ZipRecruiter salary data. Most workers in this role earn between $30.62 and $48.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a per diem remote RN data abstractor?

To thrive as a Per Diem Remote RN Data Abstractor, you need an active RN license, strong clinical knowledge, and experience in medical record review or data abstraction. Familiarity with electronic health record (EHR) systems, data abstraction tools, and relevant certifications such as Certified Clinical Data Manager (CCDM) are often required. Exceptional attention to detail, time management, and independent communication skills distinguish top performers in this role. These skills ensure accurate data collection, compliance with healthcare standards, and effective remote collaboration, which are vital for supporting quality improvement and research initiatives.

What is a per diem remote RN data abstractor?

A Per Diem Remote RN Data Abstractor is a registered nurse who works on an as-needed (per diem) basis, typically from home, to review and extract clinical information from medical records. This role supports quality improvement, research, or regulatory reporting by accurately gathering and coding specific data points. Per diem positions offer flexible scheduling, making them ideal for nurses seeking work-life balance or supplemental income. The job requires strong clinical knowledge, attention to detail, and proficiency with electronic health records and data management systems.

What are some common challenges faced by a per diem remote RN data abstractor, and how can these be managed effectively?

Per Diem Remote RN Data Abstractors often encounter challenges such as adapting to varying project requirements, managing fluctuating workloads, and maintaining accuracy while working independently. To manage these effectively, it is important to stay organized, familiarize yourself quickly with new data abstraction protocols, and communicate proactively with project managers and team members. Building strong time-management skills and seeking ongoing education about data systems and abstraction standards can also help you adapt smoothly to different assignments and maintain high-quality work.
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Per Diem Remote Rn Data Abstractor jobs near you

Nurse Educator & Quality Assurance Specialist (Contractor)

Everlywell

Charleston, WV • Remote

Contractor

Re-posted 22 days ago

Job description

Everlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens.
Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2025, an estimated 1 in 94 U.S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in the country. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized.

We are seeking a clinically experienced and detail-oriented Nurse Educator & Quality Assurance Specialist (Contractor) to support provider education and ensure high-quality clinical documentation and consults across our care delivery ecosystem.
 
This contract role will focus on educating our interdisciplinary provider network – including physicians, nurse practitioners, nurses, and medical assistants – on best practices, documentation standards, and evolving clinical workflows. In parallel, you will conduct clinical quality reviews of telehealth consults and documentation to promote consistency, safety, and regulatory compliance.
Education & Training:
  • Deliver onboarding, orientation, and skills training for new clinical team members across multiple roles.
  • Create and update training resources (e.g., presentations, SOPs, job aids) for internal use.
  • Conduct periodic refresher trainings or workshops based on emerging trends or observed gaps.
  • Assist with provider questions regarding workflows, documentation, or standards of care.
  • Collaborate with operations, compliance, and clinical leadership to ensure training materials are aligned with current practice and regulatory expectations
Quality Assurance & Documentation Review:
  • Perform retrospective chart reviews of provider consults, documentation, and care notes.
  • Evaluate documentation for clinical accuracy, completeness, professionalism, and adherence to internal protocols and external standards (e.g., CMS, HEDIS, HIPAA)/
  • Identify patterns in documentation deficiencies or clinical deviations and flag opportunities for training or system improvements.
  • Support the implementation of quality initiatives and feedback loops for continuous improvement
Required Qualifications:
  • Registered Nurse (RN) or APP (NP/PA) with active, unrestricted license in the U.S.
  • Minimum of 5 years of clinical experience, with at least 2 years in an education, quality, or supervisory role.
  • Experience with telehealth, outpatient, and diagnostic care settings preferred.
  • Familiarity with clinical documentation standards, quality improvement principles, and adult learning methods.
  • Working knowledge of risk adjustment documentation requirements, including familiarity with HCC coding principles, MEAT criteria, and best practices for capturing chronic and complex conditions in provider documentation.
  • Strong attention to detail, excellent communication skills, and ability to give clear, constructive feedback.
  • Proficiency with digital tools such as Google Workspace, EMRs/EHRs, and learning management systems.
Preferred Qualifications:
  • Experience in a startup, virtual care, or fast-paced healthcare organization.
  • Background in compliance, utilization review, or peer review is a plus.
  • Prior experience training multidisciplinary teams.
Security Notice: Everlywell never requests fees, payment, or banking information at any stage of the recruitment process. Official communications and interview invitations will only come from verified email addresses ending in @everlywell.com or @everlyhealth.com. To ensure your application is secure, always apply directly through our official careers page at https://www.everlywell.com/careers/.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.