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Home Based Medical Data Annotation Jobs in Kentucky

$76 - $103/hr

Previous experience in clinical research, medical data annotation, clinical informatics, healthcare ... Remote, US based Expected start date: September 15, 2026 #J-18808-Ljbffr

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 ...

$200 - $350/hr

Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San ... offline data annotation. * Own the end-to-end product life cycle from initial ideation to ...

$275 - $320/hr

Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and ... Based in or willing to work from the Seattle area or Bay Area. * Demonstrated experience owning and ...

New

$160 - $200/hr

You will work on the full model lifecycle: data, annotation quality, training, evaluation, release ... Experience building maintainable production code and data pipelines in a Linux based environment.

Support data annotation and quality validation activities * Maintain accurate operational records ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

Support data annotation and quality validation activities * Maintain accurate operational records ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

$161 - $219/hr

Captain- Managed Aircraft CL65- (Home based) Requisition ID 2026-6027 Category Flight Deck Location ... Current First Class Medical Certificate * No accidents, incidents or FAA enforcement actions in ...

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Home Based Medical Data Annotation information

What is home based medical data annotation?

Home based medical data annotation involves labeling and categorizing medical data, such as images, audio, or text, from the comfort of your home. Annotators help train artificial intelligence (AI) systems by identifying and marking relevant information, such as highlighting tumors in X-rays or transcribing medical notes. This role is essential for improving the accuracy and efficiency of AI tools used in healthcare diagnostics, research, and patient care. Typically, it requires attention to detail, a basic understanding of medical terminology, and familiarity with annotation tools.

What are the key skills and qualifications needed to thrive as a home based medical data annotation specialist?

To thrive as a Home Based Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling—often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, EHR systems, and relevant data security protocols is typically required, and some employers may prefer certifications in medical coding or data management. Strong organizational skills, self-motivation, and effective written communication help individuals excel in remote, deadline-driven environments. These competencies ensure accurate, high-quality data labeling that is essential for developing reliable AI systems in healthcare.

What are some common challenges faced by professionals working in home based medical data annotation, and how can they be managed?

One common challenge in home-based medical data annotation is maintaining accuracy and consistency when labeling complex medical images or records, as errors can impact critical healthcare outcomes. Working remotely may also lead to feelings of isolation or difficulty staying updated with annotation guidelines. To manage these challenges, it's important to establish a quiet, dedicated workspace, participate in regular virtual team meetings, and utilize provided training resources. Staying engaged with peers through communication channels and seeking feedback from supervisors can also help ensure high-quality work and ongoing professional development.

What is the difference between Home Based Medical Data Annotation vs Home Based Medical Transcription?

AspectHome Based Medical Data AnnotationHome Based Medical Transcription
Required CredentialsBasic medical knowledge, attention to detailMedical terminology, transcription skills, sometimes certification
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcare AI modelsConverting audio to written reports for medical records
Common Search/ComparisonYesYes

Home Based Medical Data Annotation involves labeling medical images and data to train AI systems, requiring attention to detail and basic medical knowledge. In contrast, Home Based Medical Transcription focuses on converting audio recordings into written medical reports, often needing transcription skills and familiarity with medical terminology. Both roles are remote and industry-specific, but they serve different purposes within healthcare technology and documentation.

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

The most popular types of Medical Data Annotation jobs in Kentucky are:

What are popular job titles related to Home Based Medical Data Annotation jobs in Kentucky?

For Home Based Medical Data Annotation jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Home Based Medical Data Annotation jobs in Kentucky look for?

The top searched job categories for Home Based Medical Data Annotation jobs in Kentucky are:

What cities in Kentucky are hiring for Home Based Medical Data Annotation jobs?

Cities in Kentucky with the most Home Based Medical Data Annotation job openings:

Remote Clinical Review Nurse - Sepsis

CloudFactory Limited

On-site

$76 - $103/hr

Other

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.
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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