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Part Time Rn Chart Review Remote Jobs in Los Angeles, CA

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

Inizio Engage

Field Service Representative

Los Angeles, CA · Remote

$46K - $85K/yr

Prepare for and participate in all required field meetings and training classes at local or remote ... Relevant Healthcare/Scientific roles (e.g., RN, Pharmacist, PT, OT) * Must live within 25 miles of ...

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All JobsRn Chart Review JobsPart Time Rn Chart Review Remote JobsPart Time Rn Chart Review Remote Jobs in Los Angeles, CA

Part Time Rn Chart Review Remote information

See Los Angeles, CA salary details

$25

$48

$75

How much do part time rn chart review remote jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for part time rn chart review remote in Los Angeles, CA is $48.39, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $57.50 per hour, depending on experience, location, and employer.

What is a part time RN chart review remote?

A Part Time RN Chart Review Remote position involves registered nurses working remotely to review and analyze patient medical records, ensuring accuracy and compliance with healthcare regulations. These nurses typically work part-time hours and may assist with quality assurance, coding, or insurance claims by verifying the completeness of documentation. The role requires strong clinical knowledge, attention to detail, and the ability to work independently from a home office. It is popular among nurses seeking flexible schedules or work-from-home opportunities.

What are the key skills and qualifications needed to thrive as a part time RN chart review remote?

To thrive as a Part Time RN Chart Review Remote, you need an active RN license, strong clinical knowledge, and experience with medical record documentation. Familiarity with electronic health records (EHR) systems and chart review software is typically required, and certifications in case management or coding (like CCM or CPC) can be beneficial. Exceptional attention to detail, time management, and effective written communication are crucial soft skills for analyzing records and reporting findings remotely. These abilities ensure accurate, efficient chart reviews that support compliance, quality assurance, and improved patient outcomes in a distributed work environment.

What are some common challenges faced by part time RN chart reviewers working remotely, and how can they be addressed?

Part-time RN chart reviewers working remotely often encounter challenges such as maintaining consistent communication with the healthcare team, managing time effectively across multiple cases, and ensuring data security while accessing electronic health records from home. These challenges can be addressed by setting clear communication schedules with supervisors, using secure VPNs or encrypted platforms, and establishing a dedicated, distraction-free workspace. Staying organized and proactive about deadlines also helps in balancing workload and maintaining high-quality review standards.

What is the difference between Part Time Rn Chart Review Remote vs Part Time Rn Medical Records Reviewer Remote?

AspectPart Time Rn Chart Review RemotePart Time Rn Medical Records Reviewer Remote
CredentialsRegistered Nurse (RN) licenseRegistered Nurse (RN) license
Work EnvironmentRemote, healthcare documentation reviewRemote, medical records analysis
Industry UsageHealthcare, insurance, legalHealthcare, insurance, legal
Job FocusReview patient charts for accuracy and complianceReview and analyze medical records for completeness and accuracy

Both roles involve remote work and require RN licensure, focusing on healthcare documentation. The main difference is that Part Time Rn Chart Review Remote emphasizes reviewing patient charts for compliance, while Part Time Rn Medical Records Reviewer Remote involves analyzing medical records for accuracy and completeness. Both positions serve similar industries and require similar skills, but their specific tasks differ slightly based on job focus.

How to become a registered nurse chart reviewer?

To become a registered nurse chart reviewer, you typically need to hold an active RN license, gain experience in clinical nursing, and develop skills in medical record documentation and compliance. Some positions may require familiarity with electronic health record systems and relevant certifications such as Certified Professional Medical Auditor (CPMA) or Certified Coding Specialist (CCS).

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For Part Time Rn Chart Review Remote jobs in Los Angeles, CA, the most frequently searched job titles are:

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The top searched job categories for Part Time Rn Chart Review Remote jobs in Los Angeles, CA are:

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Part Time Rn Chart Review Remote jobs near you
Infographic showing various Part Time Rn Chart Review Remote job openings in Los Angeles, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $100,660 per year, or $48.4 per hour.

AI Data Science Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 7 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.