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Data Annotation Nurse Jobs (NOW HIRING)

... data annotation and normalization project focused on Sepsis, using the MIMIC IV de-identified ... Current, active US-credentialed Registered Nurse (RN), Nurse Practitioner (NP), or Physician ...

Support quality assurance initiatives, pilot annotation projects, and guidance and training ... As a licensed nurse, nurse practitioner, physician assistant, or genetic counselor, you bring both ...

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to ... Nurse or equivalent hands-on clinical experience. * Demonstrated experience working with ...

Perform clinical data annotation by rewriting or correcting AI agent responses to align with ... Nurse Practitioners: Active, unrestricted NP license in the United States, with current board ...

Experience as UR Nurses or Case Managers. * Payer & Claims Operations: Experience as Claims ... Experience in remote data annotation or AI model evaluation a plus. Schedule / Shift Must commit to ...

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Data Annotation Nurse information

What is the difference between Data Annotation Nurse vs Medical Coder?

AspectData Annotation NurseMedical Coder
CredentialsRN license, healthcare experienceMedical coding certification (CPC, CCS)
Work EnvironmentHospitals, clinics, healthcare facilitiesMedical offices, billing companies, healthcare organizations
Industry UsageHealthcare data annotation for AI modelsMedical billing and coding for insurance and records
Search & ComparisonOften compared for healthcare data rolesCommonly compared with Data Annotation Nurse for healthcare data tasks

Data Annotation Nurses and Medical Coders both work within healthcare environments, but their roles differ. Data Annotation Nurses focus on labeling healthcare data to train AI systems, requiring nursing credentials. Medical Coders translate medical records into standardized codes for billing, requiring coding certifications. While both support healthcare data management, their specific tasks and certifications distinguish them clearly.

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Infographic showing various Data Annotation Nurse job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Remote Clinical Data Reviewer - Sepsis (MD/DO/PA/NP/RN)

Remote

Contractor

Re-posted 5 days ago


Job description

At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.
More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.
Our culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
  • Mission-driven: we focus on creating economic and social impact.
  • People-centric: we care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: we embrace change and find better ways to do things, together.
  • Globally connected: we foster collaboration between diverse cultures and perspectives.

If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.
About the role
We're looking for US-credentialed clinical professionals to support a specialized clinical data annotation and normalization project focused on Sepsis, using the MIMIC IV de-identified dataset. No prior sepsis specialization is required, we're looking for clinicians who can apply sound clinical judgment and structured annotation guidelines consistently.
In this role, you'll use your clinical expertise to review and interpret de-identified electronic health record (EHR) data, helping ensure that clinical information is accurately annotated, normalized, and structured for downstream use in healthcare technology and AI applications.
This is a hands-on opportunity to apply your clinical knowledge outside of traditional patient care and contribute to a project focused on improving how healthcare data can be understood and used.
We're particularly interested in clinicians with experience in critical care, intensive care, emergency medicine, or other acute-care environments, where familiarity with complex patient presentations and clinical documentation is valuable.
What you'll do
  • Review de-identified ICU clinical notes and EHR data related to patients with Sepsis.
  • Apply clinical knowledge to interpret and accurately annotate medical information.
  • Normalize clinical terminology, concepts, and information within patient records.
  • Identify and categorize relevant clinical information according to established annotation guidelines.
  • Maintain a high level of accuracy and consistency across annotations.
  • Participate in quality assurance and feedback processes to continuously improve annotation accuracy.

Requirements
What We're Looking For
  • Current, active US-credentialed Medical Doctor (MD), Doctor of Osteopathic Medicine (DO), Physician Assistant (PA), Nurse Practitioner (NP), or Registered Nurse (RN)
  • Strong understanding of clinical terminology and medical documentation.
  • Ability to interpret complex clinical notes and EHR information accurately and consistently.
  • Strong attention to detail and ability to apply structured guidelines consistently.
  • Comfortable working independently in a remote environment.
  • Strong written communication skills.
  • Ability to commit to approximately 25-40 hours per week.

Preferred Experience
  • Experience working in critical care / ICU.
  • Experience with Sepsis patients or other acute-care conditions.
  • Experience reviewing or working with EHR/clinical documentation.
  • Previous experience in clinical research, medical data annotation, clinical informatics, healthcare AI, or similar projects.

Training & Certification
Before beginning project work, selected candidates will complete a required training program. The training is expected to take less than one day and will include certification through PhysioNet.
Engagement Details
Type: Independent Contractor
Time commitment: 25-40 hours per week
Project duration: approximately 3 months
Working arrangement: Remote, US based
Expected start date: September 15, 2026