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Home Based Medical Data Annotation Jobs (NOW HIRING)

Insight Global

BPO Annotation Operator

Brookhaven, GA · On-site

$22/hr

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 ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... based on emerging annotation challenges and edge cases. - Utilize various labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation ...

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Jobgether

$40 - $54/hr

Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in Netherlands. Join a long-term AI data project focused on transforming video content into high-quality training ...

CloudFactory Limited

$76 - $103/hr

Previous experience in clinical research, medical data annotation, clinical informatics, healthcare ... Remote, US based Expected start date: September 15, 2026 #J-18808-Ljbffr

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

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

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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:

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:

Home Based Medical Data Annotation jobs near you
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 Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Cupertino, CA

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Appleexternal

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 11 days ago

Job description

Apple is where individual imaginations gather together, committing to the values that lead to
great work. Every new product we build, service we create, or experience we deliver is the
result of us making each other’s ideas stronger. The diversity of our people and their thinking
inspires the innovation that runs through everything we do. When we bring everybody in, we
can do the best work of our lives. Here, you’ll do more than join something - you’ll add
something.
Description
The Special Projects team at Apple is developing novel user-facing conversational features that
leverage the multimodal capabilities of state-of-the-art foundation models. As part of this
process, we generate real-world and simulated data, gather human data annotations, analyze
the results, and use them to build and evaluate Large Language Model judges. We are looking
for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will
work closely with ML Engineers to manage and analyze our human and automated data
annotation processes, and to develop, test, and refine LLM judges for generative AI model
evaluation. A successful candidate is experienced in survey design, data annotation, LLM
prompt engineering and prompt optimization, and has strong statistical analysis skills.","responsibilities":"Work closely with ML Engineers to understand data annotation needs
Design and manage data annotation processes, including the development of user
instructions, annotation pipeline processing, and process improvement
Develop LLM auto-judges and judging criteria for generative AI model evaluation
Analyze collected data annotations to assess and refine LLM auto-judges
Preferred Qualifications
PhD in Data Science, Statistics, or a quantitative social science field
Hands-on industry experience with product-focused statistical analysis
Experience working with large-scale multimodal data and data-annotation pipelines
Experience with LLM prompt engineering & prompt optimization
Experience with LLM auto-judges for generative AI model evaluation
A track record of publications or technical presentations in Data Science or a related field
Excellent at cross-functional collaboration
Minimum Qualifications
BA or Master’s degree in Data Science, Statistics, or a quantitative social science field
2+ years of hands-on experience working in survey design and human data annotation
Proficiency in Python
Excellent communication skills
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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Benefits

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