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Per Diem Remote Rn Data Abstractor Jobs in Nashua, NH

Data Modeler

Merrimack, NH · Remote

$60 - $65/hr

Merrimack, NH (Hybrid - 2 weeks in office per month, rest remote. Alternate weeks) Salary: $120,000-$125,000/Annually (OR) $60.00-$65.00/Hourly Role: Data Modeler Primary Skills: Oracle Apps ...

We use data analytics and engaging learning tools to help nursing students master core content. And ... WHERE YOU'LL WORK This position offers the flexibility of remote work within the United States. HOW ...

Contract Manager-NH

Manchester, NH · On-site +1

$77K - $112K/yr

... Diem, Per Case and Percent of Charges. • Supports strategic network composition and design ... data are loaded appropriately in all relevant systems. This includes understanding and ...

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Per Diem Remote Rn Data Abstractor information

See Nashua, NH salary details

$7

$42

$72

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

As of Jul 20, 2026, the average hourly pay for per diem remote rn data abstractor in Nashua, NH is $42.67, according to ZipRecruiter salary data. Most workers in this role earn between $31.83 and $50.48 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, and why are they important?

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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Infographic showing various Per Diem Remote Rn Data Abstractor job openings in Nashua, NH as of July 2026, with employment types broken down into 2% Locum Tenens, 36% Internship, 14% Full Time, 7% Part Time, 40% Nights, and 1% Summer. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $88,751 per year, or $42.7 per hour.
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Manchester, NH • Remote

$13/hr

Part-time

Posted 23 days ago


Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: 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. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.