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Home Based Medical Data Annotation Jobs (NOW HIRING)

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

... data annotation or collection • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to ...

Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and ... Design and build native Android applications for robot data annotation, dataset review, and ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... based vendors and external partners. • Strong problem-solving skills and ability to operate ... with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated ... S. based positions only, the pay range for this position is $94,400.00-$141,600.00 Annual. It is ...

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 ...

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 ...

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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.
More about Home Based Medical Data Annotation jobs
What cities are hiring for Home Based Medical Data Annotation jobs? Cities with the most Home Based 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:
What states have the most Home Based Medical Data Annotation jobs? States with the most job openings for Home Based Medical Data Annotation jobs include:
What job categories do people searching Home Based Medical Data Annotation jobs look for? The top searched job categories for Home Based Medical Data Annotation jobs are:
Infographic showing various Home Based Medical Data Annotation job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 63% Full Time, 26% Part Time, 2% Temporary, 5% Contract, and 2% Nights. Highlights an 84% In-person, 3% Hybrid, and 13% Remote job distribution.
Geospatial AI Data Annotator

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Re-posted 5 days ago


Job description

Geospatial AI Data Annotator
About Enabled Intelligence, Inc.
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!
Geospatial AI Data Annotator
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills
  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours

Desired Qualifications and Skills
  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance
  • Applicants selected will be subject to background investigation. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.