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From Home Medical Data Annotation Jobs (NOW HIRING)

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. • ...

... Perform data annotation required to train and evaluate ML models effectively • Support data ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated development environments (medical devices, healthcare software, or similar). * Understanding of data ...

... Perform data annotation required to train and evaluate ML models effectively • Support data ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work when available ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

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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 work 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.

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 June 2026, with employment types broken down into 3% As Needed, 81% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Onsite | Clinical Data Review Physician, San Francisco -- $120-$160/hour

24-MAG

San Francisco, CA • On-site

$120 - $160/hr

Part-time, Contractor

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


Job description

We are sharing a specialised part-time consulting opportunity for experienced Family Medicine, Primary Care, and Internal Medicine physicians based in or able to work onsite in San Francisco. This opportunity is designed for licensed physicians who can apply clinical judgment to review, annotate, and validate medical data for clinical decision-support and healthcare technology workflows.

This role supports current and upcoming onsite consulting opportunities focused on clinical data review, medical annotation, quality validation, case note assessment, EHR data interpretation, and structured clinical feedback. Selected physicians may contribute expertise across family medicine, primary care, internal medicine, inpatient care, hospitalist workflows, clinical documentation, diagnosis review, treatment pathways, and medical reasoning.

Key Responsibilities

Professionals in this role may contribute to:

Clinical Data Annotation & Review

  • Review and label clinical text, EHR data, case notes, and healthcare documentation
  • Identify and validate medical entities, diagnoses, treatment pathways, outcomes, and relevant clinical context
  • Apply family medicine, primary care, or internal medicine expertise to structured clinical data review
  • Ensure annotations reflect medically accurate and clinically meaningful interpretation

Clinical Quality Validation

  • Audit annotated datasets for clinical accuracy, consistency, and completeness
  • Review clinical summaries, recommendations, or structured outputs for medical soundness
  • Flag inaccuracies, inconsistencies, unsupported conclusions, or unclear clinical reasoning
  • Provide evidence-based feedback grounded in professional medical judgment

Clinical Knowledge Contribution

  • Provide expert input on annotation guidelines, clinical taxonomies, edge case definitions, and medical review standards
  • Help refine healthcare data workflows by identifying clinically important distinctions and documentation patterns
  • Contribute practical insight into real-world patient care context, diagnosis evaluation, and treatment pathway interpretation
  • Support the development of clear standards for clinical review and medical data validation

Documentation & Training Support

  • Contribute to clinical documentation standards and reviewer guidance materials
  • Assist in developing onboarding or training materials for new clinical reviewers where applicable
  • Maintain clear, structured documentation of review decisions, assumptions, and clinical reasoning
  • Collaborate with project leads and technical teams to support high-quality clinical data review standards

Ideal Profile

Strong candidates may have:

  • MD or DO degree with specialization in Family Medicine, Primary Care, Internal Medicine, or a closely related clinical field
  • Board certification or board eligibility in Family Medicine or Internal Medicine
  • Active medical license in good standing
  • 2+ years of clinical experience in inpatient, hospitalist, primary care, or comparable patient-care settings
  • Strong ability to review clinical documentation, interpret medical context, and make accurate evidence-based assessments
  • Experience working with EHR data, clinical notes, diagnosis pathways, treatment plans, or medical documentation workflows
  • Strong written communication skills and ability to document clinical reasoning clearly
  • Availability to work onsite in San Francisco, California for project-based consulting work

Educational Background

  • MD or DO degree required
  • Board certification or board eligibility in Family Medicine or Internal Medicine strongly preferred
  • Active medical license in good standing required
  • Additional clinical training, residency, fellowship, or academic hospital experience is helpful

Nice to Have

  • Academic hospital experience
  • Inpatient care, hospitalist care, urgent care, or complex primary care experience
  • Experience reviewing medical records, clinical documentation, coded data, or EHR-based case materials
  • Familiarity with clinical decision-support tools, healthcare technology workflows, or medical data review projects
  • Experience creating clinical guidelines, reviewer training materials, or quality review standards
  • Comfort collaborating with technical teams, data teams, clinical reviewers, or healthcare product teams

Why This Opportunity

  • Onsite consulting opportunity based in San Francisco, aligned with physician-level clinical expertise
  • Opportunity to contribute to healthcare technology workflows that require safe, accurate, and explainable clinical judgment
  • Suitable for physicians who enjoy clinical review, structured documentation, quality validation, and medical reasoning
  • Project-based work that can align with part-time availability and clinical consulting schedules

Contract Details

  • Independent contractor engagement
  • Onsite consulting role based in San Francisco, California
  • Eligible candidates must be based in the United States and able to work onsite in San Francisco
  • Part-time, project-based availability
  • Expected commitment may vary by project, with many opportunities ranging from approximately 15–30 hours per week
  • Competitive hourly compensation in the range of $120–$160/hour, depending on project scope, experience, and fit
  • Payments are made weekly via Stripe or Wise based on services rendered
  • Projects may be extended, shortened, adjusted, or concluded based on project needs and performance
  • Candidates requiring H1-B or STEM OPT sponsorship support are not eligible at this time
  • Work must not involve sharing confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.