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Flexible Medical Data Annotation Jobs (NOW HIRING)

$76 - $103/hr

Previous experience in clinical research, medical data annotation, clinical informatics, healthcare AI, or similar projects. Training & Certification Before beginning project work, selected ...

Train and improve AI models through detailed data annotation and labeling. * Review and validate AI ... We offer competitive compensation, flexible working hours, and a supportive work environment that ...

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We're seeking a Lead Data Analyst - Medical Data to play a critical role in guiding the collection ... This position will work in a flexible-hybrid environment. The preferred candidate would be local ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

Showing results 21-40

Flexible Medical Data Annotation information

What is the difference between Flexible Medical Data Annotation vs Medical Data Labeler?

AspectFlexible Medical Data AnnotationMedical Data Labeler
CredentialsBasic understanding of medical terminology, training in annotation toolsSimilar, often requires familiarity with medical terminology
Work EnvironmentRemote or on-site, healthcare or tech companiesPrimarily remote, healthcare tech companies
Industry UsageUsed in AI training for medical imaging, EHR systemsUsed for training AI models in healthcare
Search & ComparisonFocuses on flexible annotation tasks, broader scopeMore specific, labeling data for medical AI

Flexible Medical Data Annotation involves a broader range of annotation tasks, often requiring adaptability and understanding of various medical data types. Medical Data Labeler typically focuses on labeling specific datasets for AI training. Both roles require medical terminology knowledge but differ in scope and flexibility.

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Cities with the most Flexible Medical Data Annotation job openings:

What are the most commonly searched types of Medical Data Annotation jobs?

The most popular types of Medical Data Annotation jobs are:

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States with the most job openings for Flexible Medical Data Annotation jobs include:

Infographic showing various Flexible Medical Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Remote Clinical Review Nurse - Sepsis

CloudFactory Limited

On-site

$76 - $103/hr

Other

Posted 17 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.
What We're Looking For
  • Current, active US-credentialed Registered Nurse (RN), Nurse Practitioner (NP), or Physician Assistant (PA)
  • 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

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