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Per Diem Remote Rn Data Abstractor Jobs in Salem, OR

This paid, part-time internship (15-25 hours per week during normal office hours) begins summer ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

Help maintain data integrity in all systems and ensure required documentation is received and ... Location: Remote -Eugene, OR, Portland, OR, Sacramento, CA, Salem, OR, Seattle, WA If this ...

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Per Diem Remote Rn Data Abstractor information

See Salem, OR salary details

$7

$42

$72

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

As of Sep 2, 2026, the average hourly pay for per diem remote rn data abstractor in Salem, OR is $42.46, according to ZipRecruiter salary data. Most workers in this role earn between $31.63 and $50.24 per hour, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Remote Rn Data Abstractor jobs in Salem, OR?

The most popular types of Remote Rn Data Abstractor jobs in Salem, OR are:

What are popular job titles related to Per Diem Remote Rn Data Abstractor jobs in Salem, OR?

For Per Diem Remote Rn Data Abstractor jobs in Salem, OR, the most frequently searched job titles are:

What job categories do people searching Per Diem Remote Rn Data Abstractor jobs in Salem, OR look for?

The top searched job categories for Per Diem Remote Rn Data Abstractor jobs in Salem, OR are:

What cities near Salem, OR are hiring for Per Diem Remote Rn Data Abstractor jobs?

Cities near Salem, OR with the most Per Diem Remote Rn Data Abstractor job openings:

Infographic showing various Per Diem Remote Rn Data Abstractor job openings in Salem, OR as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution, with an average salary of $88,310 per year, or $42.5 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Salem, OR • On-site, Remote

$50/hr

Full-time

Re-posted 2 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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