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Home Based Medical Data Annotation Jobs in Kentucky

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

Robot Teleoperator (AI & Robotics)

Louisville, KY · On-site

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

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All JobsHome Based Medical Data Annotation JobsHome Based Medical Data Annotation Jobs in Kentucky

Home Based Medical Data Annotation information

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 are the key skills and qualifications needed to thrive as a Home Based Medical Data Annotation Specialist, and why are they important?

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 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 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 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:
Home Based Medical Data Annotation jobs near you

AI/ML Data Contributor

TSMG

Louisville, KY

Full-time

Re-posted 7 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). 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 evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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