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From Home Medical Data Annotation Jobs (NOW HIRING)

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

... from collection through to model improvement * Evaluate and integrate new data sources * Define labeling taxonomies and annotation specifications Qualifications: * 1-3+ years of experience in data ...

IVIRMA Global

Medical Data Entry- Hybrid

Basking Ridge, NJ · On-site

$17.25 - $20.50/hr

IVI RMA is seeking a full-time Billing Coordinator- Medical Data Entry to join our growing team in ... Scheduled work hours are Monday to Friday from 8:30 AM to 4:30 PM. (Hybrid) Responsibilities:

Turing

Client Director, Frontier Data - US

Palo Alto, CA

$255K - $325K/yr

Oversee the entire data lifecycle from client intake and annotation workflow design to delivery * Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate ...

IVI America

$17.25 - $20.75/hr

Billing Coordinator- Medical Data Entry IVI RMA is seeking a full-time Billing Coordinator- Medical ... Scheduled work hours are Monday to Friday from 8:30 AM to 4:30 PM. (Hybrid) Responsibilities:

Preventive PLUS

Medical Data Entry Clerk

Paramus, NJ · On-site

$17 - $20.25/hr

... from customers and enter information into the database Create accurate spreadsheets in Microsoft ... of data by comparing to original documents Create reports or otherwise retrieve data from the ...

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

... curation efforts - from strategy and planning to execution, delivery, and quality evaluation ... Strong understanding of ML development workflows, data pipelines, and annotation lifecycle.

Lancesoft

Imaging Tech II - Non-Exempt

MN · On-site +1

$38 - $43/hr

Data Annotation * ECG Nice to Have: * IBHRE certification HM's Top Needs: * CCI CRAT or CCT ... medical device or cardiac experience The role involves identifying normal and abnormal findings ...

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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
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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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From Home Medical Data Annotation jobs near you
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.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

Dallas, TX • Remote

$23/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.

Apply