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Home Based Medical Data Annotation Jobs (NOW HIRING)

Experience with data annotation, labeling, QA, or data entry Coursework or interest in AI, computer vision, or data science About the Role BPO Annotation Operators perform browser-based annotation ...

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... based on a predefined scoring guide. * Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation. * Collaborate with the iMerit project ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

Experience with data annotation, content review, or rubric-based evaluation is preferred. * Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master ...

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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.

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:

Infographic showing various Home Based Medical Data Annotation job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Data Annotation Analyst

ATOMS Careers page

San Francisco, CA • On-site

$71K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 5 days ago. Applications are no longer accepted.


Job description

Who we are 

Atoms is building the machines that power the next era of progress.

Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that.

Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.

This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.

We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.

If you want to work on hard problems with real-world impact, join us.

What you'll do

  • Perform quality control and labeling for images used for machine learning (ML) models
  • Manage a large team of remote labelers
  • Upload prioritized image data for labeling
  • Create and track metrics for labelers
  • Iterate on existing labeling guidelines for multiple types of computer vision tasks
  • Identify common errors in labeling
  • Communicate feedback and priorities to the labeling team
  • Work directly with the ML team

What we're looking for

  • Prior experience labeling or performing quality control for ML training data
  • Detail-oriented approach
  • Excellent communication skills and effective collaboration with members of the team
  • Familiarity with command-line interface tools preferred
  • Knowledge of labeling policies for multiple types of computer vision tasks
  • Experience with annotation platforms
  • Familiarity with spreadsheet tools or BI dashboards for tracking and visualizing labeler metrics
  • Exposure to version control (Git) or ticketing/workflow tools

Why join us

At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow.

What else you need to know

This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $71,000 - $89,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave 
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

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