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From Home Medical Data Annotation Jobs in Washington

Jobtailor

Data Annotation Engineer

Washington, DC · On-site

$120 - $180/hr

* Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery ... Full-motion video (FMV) annotation concepts and tooling * Python scripting for data wrangling ...

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Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the ... Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

This role is responsible for redacting sensitive information from files and reviewing, labeling ... Medical, Dental, and Vision Insurance * 401K * Paid Vacation * Ten paid holidays per year

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

This role is responsible for redacting sensitive information from files and reviewing, labeling ... Medical, Dental, and Vision Insurance * 401K * Paid Vacation * Ten paid holidays per year

Welo Data

Data Labeling Associate

Washington, DC · On-site

$34/hr

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... A English with Dialect from (Australian, United Kingdom and Canadian) speaker with strong written ...

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All JobsMedical Data Annotation JobsFrom Home Medical Data Annotation JobsFrom Home Medical Data Annotation Jobs in Washington

From Home Medical Data Annotation information

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 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 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 are the most commonly searched types of Medical Data Annotation jobs in Washington?

The most popular types of Medical Data Annotation jobs in Washington are:

What are popular job titles related to From Home Medical Data Annotation jobs in Washington?

For From Home Medical Data Annotation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching From Home Medical Data Annotation jobs in Washington look for?

The top searched job categories for From Home Medical Data Annotation jobs in Washington are:

What cities in Washington are hiring for From Home Medical Data Annotation jobs?

Cities in Washington with the most From Home Medical Data Annotation job openings:

From Home Medical Data Annotation jobs near you

Data Annotation Engineer

Jobtailor

Washington, DC • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

  • Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
  • Produce the ODIN load report: corpus description, ontology mapping, readiness state
  • Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
  • Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
  • Produce 50-100 label demonstration corpus across synthetic and mission-aligned content
  • Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
  • Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect.
Requirements
  • Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 5+ years total professional experience, 3+ years in data engineering or annotation operations
  • CVAT - deployment and day-to-day operation required; this is not a nice-to-have
  • Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
  • Full-motion video (FMV) annotation concepts and tooling
  • Python scripting for data wrangling, validation, and format conversion
  • Active Secret clearance with TS/SCI eligibility.
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