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Remote Medical Data Abstractor Jobs in Arizona (NOW HIRING)

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

As of Aug 12, 2026, the average hourly pay for remote medical data abstractor in Arizona is $23.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $29.81 per hour, depending on experience, location, and employer.

What is a remote medical data abstractor?

A Remote Medical Data Abstractor is a professional who reviews and extracts relevant medical information from patient records and enters it into electronic databases or systems. Working remotely, they analyze clinical documents to ensure accurate data capture for research, billing, or quality improvement purposes. This role requires strong attention to detail, knowledge of medical terminology, and familiarity with electronic health record (EHR) systems. Remote Medical Data Abstractors play a key role in supporting healthcare organizations by maintaining accurate and up-to-date patient data.

What are some common challenges faced by remote medical data abstractors, and how can they be overcome?

Remote Medical Data Abstractors often encounter challenges such as navigating multiple electronic health record (EHR) systems, ensuring data accuracy, and managing large volumes of patient information within tight deadlines. Staying organized, maintaining meticulous attention to detail, and regularly communicating with healthcare teams can help overcome these hurdles. Many employers provide comprehensive onboarding and ongoing support to ensure abstractors can efficiently access data and resolve any technical issues. Utilizing secure and reliable internet connections, as well as keeping up-to-date with best practices in data security and HIPAA compliance, are also essential for success in this remote role.

What is the difference between Remote Medical Data Abstractor vs Remote Medical Coder?

AspectRemote Medical Data AbstractorRemote Medical Coder
CredentialsTypically requires a certification in medical data abstraction or related trainingRequires coding certifications like CPC or CCS
Work EnvironmentPrimarily reviews and extracts data from medical recordsAssigns standardized codes to diagnoses and procedures
Industry UsageUsed in research, clinical trials, and healthcare data analysisUsed in billing, reimbursement, and insurance claims
Search & Comparison IntentOften compared for data accuracy and record review rolesCompared for billing, coding accuracy, and compliance

The Remote Medical Data Abstractor focuses on extracting relevant information from medical records for research or analysis, while the Remote Medical Coder assigns standardized codes for billing and reimbursement. Both roles require healthcare knowledge and certification but serve different functions within the healthcare industry.

What are the key skills and qualifications needed to thrive as a remote medical data abstractor, and why are they important?

To thrive as a Remote Medical Data Abstractor, you need a strong understanding of medical terminology, clinical documentation, and experience with healthcare coding or data management—often supported by a degree in health information management or a related field. Proficiency with electronic health record (EHR) systems, data abstraction tools, and sometimes certifications like RHIT or CPC are typically required. Exceptional attention to detail, time management, and effective communication are crucial soft skills for ensuring accuracy and efficiency while working independently. These skills ensure high-quality data collection, compliance with healthcare regulations, and support accurate patient care and reporting.
What are popular job titles related to Remote Medical Data Abstractor jobs in Arizona? For Remote Medical Data Abstractor jobs in Arizona, the most frequently searched job titles are:
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What cities in Arizona are hiring for Remote Medical Data Abstractor jobs? Cities in Arizona with the most Remote Medical Data Abstractor job openings:
Remote Medical Data Abstractor jobs near you
Infographic showing various Remote Medical Data Abstractor job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,099 per year, or $23.6 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Surprise, AZ • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

Apply