1

Medical Data Annotation Jobs in Virginia (NOW HIRING)

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is ... Medical, Dental, and Vision Insurance * 401K * Paid Vacation * Ten paid holidays per year

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is ... Medical, Dental, and Vision Insurance * 401K * Paid Vacation * Ten paid holidays per year

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

next page

Showing results 1-20

Medical Data Annotation information

See Virginia salary details

$9

$21

$50

How much do medical data annotation jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for medical data annotation in Virginia is $21.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.49 and $22.21 per hour, depending on experience, location, and employer.

What is a medical data annotation?

A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.

What are the key skills and qualifications needed to thrive in medical data annotation?

To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.

What are the typical challenges faced in medical data annotation?

One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.

What are the most commonly searched types of Medical Data Annotation jobs in Virginia? The most popular types of Medical Data Annotation jobs in Virginia are:
What are popular job titles related to Medical Data Annotation jobs in Virginia? For Medical Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Medical Data Annotation jobs in Virginia look for? The top searched job categories for Medical Data Annotation jobs in Virginia are:
Infographic showing various Medical Data Annotation job openings in Virginia as of July 2026, with employment types broken down into 2% Locum Tenens, 34% Full Time, 26% Part Time, 2% Contract, 35% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $45,148 per year, or $21.7 per hour.

Data Annotation Specialist

CaseGuard

Arlington, VA • On-site

$40K - $50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing images to support machine learning model training. Accuracy, confidentiality, and consistency are critical to success in this role.
Key Responsibilities:
  • Review digital documents and redact sensitive or confidential information according to established guidelines.
  • Perform accurate data entry and data validation to ensure high-quality datasets.
  • Review, label, and categorize images to support machine learning and AI model training.
  • Follow detailed annotation and redaction standards to ensure consistency.
  • Conduct quality checks to identify errors or inconsistencies.
  • Handle sensitive data with discretion and comply with privacy and security policies.
  • Meet productivity and accuracy benchmarks while managing multiple tasks.

Qualifications:
  • Bachelor's degree in any field.
  • High attention to detail and ability to work with repetitive tasks while maintaining accuracy.
  • Basic technical proficiency and ability to learn new software tools quickly.
  • Strong organizational skills and ability to meet deadlines.
  • Excellent communication skills and ability to follow instructions.
  • Ability to maintain confidentiality and handle sensitive information.

Benefits:
  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment

Salary Range:$40,000 - $50,000
About CaseGuard
CaseGuard is a software company that helps law enforcement agencies, federal agencies, hospitals, schools, airports, and others manage all their media redaction needs in one easy-to-use redaction software. CaseGuard Studio is one of its kind. Our team is driven by a passion for great software design, the creation of great products, and the creative process, CaseGuard implements innovative ideas across multiple services and agencies.