2

Remote Research Nurse Jobs in Springfield, NJ (NOW HIRING)

Remote Registered Nurse

Manhattan, NY · Remote

$100 - $150/hr

Collaborate with AI researchers to help models better understand medical terminology, documentation ... Active RN license in the U.S. (or equivalent jurisdictional certification). * Strong English ...

Remote Nurse Practitioner

Manhattan, NY · Remote

$100 - $150/hr

... Nurse Practitioners working in hospital, outpatient, or specialty care settings. Role Overview ... Collaborate with AI researchers to enhance models' understanding of medical terminology ...

next page

Showing results 1-20

Remote Research Nurse information

See Springfield, NJ salary details

$26

$47

$73

How much do remote research nurse jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote research nurse in Springfield, NJ is $47.73, according to ZipRecruiter salary data. Most workers in this role earn between $38.80 and $57.31 per hour, depending on experience, location, and employer.

What is a remote research nurse?

A Remote Research Nurse supports clinical research studies by collecting data, coordinating patient participation, and ensuring compliance with study protocols—all while working from a remote location. They may conduct virtual patient assessments, monitor trial progress, and collaborate with research teams online. This role requires strong nursing expertise, knowledge of clinical research guidelines, and excellent communication skills to interact with patients and investigators remotely.

What does a remote research nurse do?

A typical workday for a Remote Research Nurse involves coordinating and monitoring clinical trial activities, conducting virtual patient assessments, and documenting data in secure electronic systems. You may spend time communicating with study participants via video calls or phone, collaborating with research teams to ensure protocol compliance, and managing study documentation remotely. The role requires balancing independent tasks with frequent digital communication to keep projects on track. While the position offers flexibility, strong organizational and time-management skills are essential to handle the unique demands of remote research work.

What are the key skills and qualifications needed to thrive as a remote research nurse?

To thrive as a Remote Research Nurse, you need a current RN license, clinical research experience, and strong analytical and organizational skills. Familiarity with electronic data capture (EDC) systems, telehealth platforms, and regulatory compliance such as GCP (Good Clinical Practice) certification is often required. Outstanding communication, attention to detail, and self-motivation are crucial soft skills for excelling in remote environments. These competencies ensure research protocols are followed accurately, data integrity is maintained, and patient safety is prioritized in a virtual setting.

What are popular job titles related to Remote Research Nurse jobs in Springfield, NJ?

For Remote Research Nurse jobs in Springfield, NJ, the most frequently searched job titles are:

What cities near Springfield, NJ are hiring for Remote Research Nurse jobs?

Cities near Springfield, NJ with the most Remote Research Nurse job openings:

Infographic showing various Remote Research Nurse job openings in Springfield, NJ as of August 2026, with employment types broken down into 2% As Needed, 58% Full Time, 15% Part Time, 7% Temporary, and 18% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $99,286 per year, or $47.7 per hour.

Remote Registered Nurse

Turing

Manhattan, NY • Remote

$100 - $150/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Turing is looking for candidates who have solid experience in nursing care, patient assessment, and clinical documentation, particularly at the level expected for licensed registered nurses working in hospital or outpatient care settings.

Role Overview:
  • In this role, you will be working on projects to help fine-tune large language models (LLMs) using your clinical expertise and healthcare knowledge.
  • No prior AI experience is required.
  • These projects will help you learn how to leverage AI to advance your field by improving clinical reasoning, decision support, and patient communication.

What Does Day-to-Day Look Like:
  • Design and solve real-world nursing and patient-care scenarios to test AI reasoning.
  • Write clear, structured explanations covering patient triage, treatment planning, care coordination, and nursing protocols.
  • Collaborate with AI researchers to help models better understand medical terminology, documentation standards, and clinical judgment.
  • Evaluate AI responses for accuracy, clinical soundness, and adherence to evidence-based care models.

Requirements:
  • Bachelor of Science in Nursing (BSN) or equivalent nursing qualification.
  • 4+ years of experience as a Registered Nurse in a clinical or hospital environment.
  • Active RN license in the U.S. (or equivalent jurisdictional certification).
  • Strong English communication skills and ability to explain clinical reasoning clearly and accurately.

Perks of Freelancing with Turing & Offer Details:
  • Strong compensation (exact amount varies by project).
  • Work in a fully remote environment.
  • Engagement type: Contractor assignment/freelancer, potentially full-time.
  • Duration of projects: approximately 1 month (with possibility for extension).

What Turing is NOT seeking from your expertise:
  • Confidential or proprietary information from any employer, university, etc.
  • Trade secrets or internal company or university data.
  • Specific client information or case details.
  • Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.