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Medical Data Annotation Jobs in Virginia (NOW HIRING)

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ... Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ... Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D insurance

Soch Inc

Angular Full Stack Developer

Richmond, VA · On-site

$65 - $75/hr

Ensure smooth data handling between frontend and backend through efficient API integration ... Reflection, Annotation is required. * Extensive practical experience in building enterprise ...

All JobsMedical Data Annotation JobsMedical Data Annotation Jobs in Virginia

Medical Data Annotation information

See Virginia salary details

$9

$21

$50

How much do medical data annotation jobs pay per hour?

As of Jul 15, 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 job?

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 the Medical Data Annotation position, and why are they important?

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 roles?

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:
Medical Data Annotation jobs near you
AI/ML Test Engineer

AI/ML Test Engineer

Modern Technology Solutions, Inc.

Springfield, VA • On-site

$100K - $150K/yr

Full-time

Posted 24 days ago

Job description

Modern Technology Solutions, Inc. (MTSI) is hiring an AI/ML Test Engineer in Springfield, VA. Qualified candidates must be U.S. citizens with a TS/SCI clearance and CI Polygraph.
Responsibilities:
  • Execute system-level AI/Machine Learning evaluation activities within the Test & Evaluation (T&E) environment supporting mission-focused operational testing.
  • Perform integration testing, data capture, drift detection, and operational validation activities across AI/ML evaluation workflows.
  • Support automated and semi-automated evaluation pipelines for AI/ML model testing and performance assessment.
  • Develop, maintain, and refine data annotation workflows supporting operational evaluation requirements.
  • Validate operational datasets and support testing activities across multiple models, datasets, and mission scenarios.
  • Conduct integration testing of AI/ML models within operationally representative environments and workflows.
  • Adapt evaluation procedures and workflows to address evolving GEOINT data conditions and operational mission requirements.
  • Support high-throughput and parallel model evaluation activities to maintain alignment with mission timelines and operational priorities.
  • Identify and mitigate data drift, performance degradation, and workflow issues impacting evaluation reliability.
  • Collaborate with Senior AI/ML Test Engineers, data scientists, software engineers, and mission stakeholders to support scalable T&E execution.
  • Contribute to technical documentation, evaluation reporting, and customer briefings supporting operational decision-making.

Qualifications Required:
  • 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows.
  • Familiarity with automated testing pipelines, operational data validation, and model performance assessment concepts.
  • Ability to support multiple evaluation activities across dynamic operational environments.
  • Experience troubleshooting technical workflow or data-related issues in support of operational objectives.
  • Strong analytical, organizational, and communication skills.

Education Requirements:
  • Bachelor's degree in IT or STEM related field, or additional relevant experience in lieu of a degree.

Desired Qualifications:
  • Experience supporting DoD, NGA, or Intelligence Community programs.
  • Familiarity with AI/ML model evaluation, GEOINT workflows, and operational testing environments.
  • Experience working in Agile, DevSecOps, or cloud-based operational environments.
  • Familiarity with annotation workflows, data capture pipelines, drift detection, and automated evaluation tools.
  • Experience supporting scalable AI/ML evaluation or mission-focused T&E activities.

Clearance Requirements:
  • Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.

The pay range for this position is $100,000 to $150,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. Base pay information is based on market location. Applications will be accepted on an ongoing basis. This posting will be renewed periodically until the position is filled.
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