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Home Based Medical Data Annotation Jobs (NOW HIRING)

Sunday

Data Annotation Lead

Redwood City, CA · On-site

Responsibilities : • Build a data annotation team • Manage the people side of data annotations ... Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to ...

Innodata Inc.

$55 - $60/hr

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the ... hour, based on experience, skills, and qualifications. Note to Candidates: Phase D corpus ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... Able to make judgement calls based on a set of criteria * Able to manage time effectively with ...

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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
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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:
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:
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Home Based Medical Data Annotation jobs near you
Infographic showing various Home Based Medical Data Annotation job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Annotation Lead

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts.
Responsibilities:
• Build a data annotation team
• Manage the people side of data annotations
• Create documentation
• Be in the weeds and annotate data yourself anytime something new is being designed
• Create data annotation processes
Qualifications:
Required:
• Clear written and verbal communication to guide our data annotators
• Your ability to manage unexpected challenges
• Your ownership of key stakeholders with data annotators, engineering, and support
• Excitement for the growth and development of data annotation
• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
• A level of hardcore-ness while still treating people like people
• Intermediate level understanding of ML
Preferred:
• Previous experience leading data annotation teams
• Technical skills to build tools for data annotation
• Ability to leverage AI to help improve productivity
Company:
Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.

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