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Part Time Remote Rn Data Abstractor Jobs in Denver, CO

Construction Operations Manager

Denver, CO · On-site +1

$83K - $89K/yr

Applicants must have an EMT, Paramedic, LPN/LVN, or RN license.** The pay range for this position ... part-time and contract clinic staff at multiple clinic sites. This position monitors budgets and ...

Commercial Counsel

Aurora, CO · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Commercial Counsel

Denver, CO · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Paleontologist (on-call)

Denver, CO · On-site +1

$16.50 - $20.50/hr

This remote position is a part-time, on-call role meaning hours will vary and will be dependent on ... Strong, concise writing, research and data management skills. * Candidates must have the ability to ...

Paleontologist (on-call)

Denver, CO · On-site +1

$16.50 - $20.50/hr

This remote position is a part-time, on-call role meaning hours will vary and will be dependent on ... Strong, concise writing, research and data management skills. * Candidates must have the ability to ...

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Part Time Remote Rn Data Abstractor information

See Denver, CO salary details

$7

$43

$74

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

As of Jun 29, 2026, the average hourly pay for part time remote rn data abstractor in Denver, CO is $43.48, according to ZipRecruiter salary data. Most workers in this role earn between $32.40 and $51.44 per hour, depending on experience, location, and employer.

How to become a clinical data abstractor with no experience?

To become a clinical data abstractor, including part-time remote Rn data abstractors, individuals should gain knowledge of medical terminology, healthcare data, and electronic health records through online courses or certifications. Prior experience in healthcare or data entry can be helpful, but training is often provided by employers, and strong attention to detail and familiarity with data management tools are essential for success.

How much do nurse abstractors make?

Nurse abstractors, including part-time remote Rn data abstractors, typically earn between $20 and $35 per hour, depending on experience, location, and employer. Many roles are freelance or contract-based, with some earning additional benefits or bonuses for accuracy and efficiency.

Can abstractors work remotely?

Part Time Remote Rn Data Abstractors can typically work remotely, as their tasks involve reviewing and abstracting medical records which can be done from a home environment. Successful remote abstractors usually have strong computer skills, familiarity with electronic health records (EHR) systems, and reliable internet access. Flexibility in scheduling is common in remote roles, but specific requirements may vary by employer.

How to get into data abstraction as a nurse?

To become a part-time remote RN data abstractor, nurses should gain experience in medical record review and coding, familiarize themselves with electronic health record systems, and develop strong attention to detail. Certification in health information management or coding, such as CPC or CCS, can enhance job prospects. Many positions require prior clinical experience and proficiency with data management tools.

What is the difference between Part Time Remote Rn Data Abstractor vs Part Time Remote Medical Records Coordinator?

AspectPart Time Remote Rn Data AbstractorPart Time Remote Medical Records Coordinator
CredentialsRN license, certification in medical data abstractionTypically healthcare experience, sometimes certification in records management
Work EnvironmentRemote, healthcare data-focusedRemote, administrative and record management
Industry UsageHospitals, research organizations, clinical trialsHospitals, clinics, insurance companies
Job FocusExtracting and abstracting patient data from recordsManaging, organizing, and maintaining medical records

While both roles are remote and involve healthcare data, the Part Time Remote Rn Data Abstractor focuses on extracting patient information, requiring RN credentials. In contrast, the Part Time Remote Medical Records Coordinator handles record organization and management, often with administrative experience. Understanding these differences helps job seekers find the right position aligned with their skills and certifications.

What are the most commonly searched types of Remote Rn Data Abstractor jobs in Denver, CO? The most popular types of Remote Rn Data Abstractor jobs in Denver, CO are:
What are popular job titles related to Part Time Remote Rn Data Abstractor jobs in Denver, CO? For Part Time Remote Rn Data Abstractor jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Rn Data Abstractor jobs in Denver, CO look for? The top searched job categories for Part Time Remote Rn Data Abstractor jobs in Denver, CO are:
What cities near Denver, CO are hiring for Part Time Remote Rn Data Abstractor jobs? Cities near Denver, CO with the most Part Time Remote Rn Data Abstractor job openings:
Corporate Counsel (Tech & Privacy) - Remote

Corporate Counsel (Tech & Privacy) - Remote

micro1 AI

Aurora, CO • Remote

$80 - $105/hr

Part-time

Posted 13 days ago


Key responsibilities

  • Perform simulated contract negotiations and redlining exercises.

  • Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.

  • Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.


Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  4. Exceptional written and verbal communication skills with meticulous attention to detail.
  5. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  6. Demonstrated commitment to innovation at the intersection of law and technology.
  7. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.