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From Home Medical Data Annotation Jobs (NOW HIRING)

Medical Data Reviewer ICON is a global healthcare intelligence and clinical research organisation ... From molecule to medicine, we advance clinical research providing outsourced services to ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... questions from engineering, product, and business teams. • Translate ambiguous or high-level ... with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Freelance Location: Thailand (work from home) Work Schedule: Part-time - 10+ hours per week ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

New

Data Labeler

$30K - $50K/yr

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace ... Help improve evaluation guidelines and annotation processes * Contribute to the datasets used to ...

Showing results 21-40

From Home Medical Data Annotation information

What are the key skills and qualifications needed to thrive as a from home medical data annotation specialist, and why are they important?

To succeed as a From Home Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with clinical data formats, often supported by relevant coursework or experience in healthcare or data management. Proficiency with data annotation platforms, medical coding systems (such as ICD-10 or CPT), and secure remote work tools is frequently required. Strong soft skills include self-motivation, time management, and clear written communication to ensure accuracy and meet deadlines independently. These skills are crucial for producing high-quality, reliable annotated data that supports medical research, AI model development, and healthcare decision-making.

What is a from home medical data annotation job?

A work from home medical data annotation job involves labeling and categorizing medical data, such as images, text, or audio, to help train artificial intelligence systems used in healthcare. This typically means identifying and tagging important information within medical records, radiology images, or clinical notes so that machine learning models can better understand and process the data. These roles are mostly remote, allowing individuals to work from their own homes while contributing to the development of advanced healthcare technologies. Attention to detail and a basic understanding of medical terminology are often required.

What are the main challenges of working as a medical data annotator from home, and how can they be addressed?

One of the main challenges of working as a medical data annotator from home is maintaining consistent focus and accuracy when handling large volumes of sensitive patient data. Distractions at home, limited direct supervision, and potential technology issues can also impact productivity. To address these, it's important to establish a dedicated workspace, follow strict data security protocols, regularly communicate with your team, and utilize project management tools to track progress. Many employers also provide training and ongoing support to help remote annotators stay compliant with privacy regulations and quality standards.

What is the difference between From Home Medical Data Annotation vs Medical Data Labeler?

AspectFrom Home Medical Data AnnotationMedical Data Labeler
CredentialsBasic computer skills, attention to detailSimilar credentials, often no formal certification required
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageHealthcare, AI trainingHealthcare, AI, machine learning
Job FocusAnnotating medical images and data for AI modelsLabeling medical data for machine learning algorithms

Both roles involve remote work and require attention to detail, focusing on medical data annotation and labeling for AI applications. The main difference lies in terminology; 'From Home Medical Data Annotation' emphasizes the annotation process, while 'Medical Data Labeler' highlights the labeling aspect. Both positions are essential in healthcare AI development and share similar credentials and work environments.

What jobs in healthcare allow you to work from home?

Healthcare jobs like medical data annotation, telehealth consulting, medical coding, and remote patient support allow professionals to work from home. These roles typically require specialized training, attention to detail, and familiarity with healthcare software or electronic health records systems.
More about From Home Medical Data Annotation jobs
What cities are hiring for From Home Medical Data Annotation jobs? Cities with the most From Home 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 From Home Medical Data Annotation jobs? States with the most job openings for From Home Medical Data Annotation jobs include:
Infographic showing various From Home Medical Data Annotation job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Re-posted 21 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.