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Internship Medical Data Annotation Jobs in Virginia

Reingold Inc

Data and AI Marketing Intern

Alexandria, VA · On-site

$20/hr

Internships at Reingold are full-time (40 hours) during the standard workweek and pay an hourly ... medical condition, please feel free to email [email protected] or contact a member of the People ...

Level Up Llc

Data Scientist

Reston, VA · On-site

Experience analyzing real world data through coursework, thesis research, internships, or work ... Our health and wellness benefits include medical, dental, and vision coverage, along with ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Experience analyzing real world data through coursework, thesis research, internships, or work ... Our health and wellness benefits include medical, dental, and vision coverage, along with ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Experience analyzing real world data through coursework, thesis research, internships, or work ... Our health and wellness benefits include medical, dental, and vision coverage, along with ...

Navy Federal Credit Union

Data Engineer

Vienna, VA · On-site

$114K - $138K/yr

Yello and WayUp Top 100 Internship Programs * Computerworld Best Places to Work in IT * Newsweek ... hiring process), you can contact Navy Federal's Medical Accommodations team at ...

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All JobsMedical Data Annotation JobsInternship Medical Data Annotation JobsInternship Medical Data Annotation Jobs in Virginia

Internship Medical Data Annotation information

What is the difference between Internship Medical Data Annotation vs Medical Data Labeling Specialist?

AspectInternship Medical Data AnnotationMedical Data Labeling Specialist
CredentialsTypically students or entry-level with basic knowledgeRelevant certifications or experience in data annotation
Work EnvironmentInternship programs, often in healthcare or tech companiesFull-time or part-time roles in healthcare tech firms
Industry UsageUsed for training and educational purposes, entry-level projectsOperational roles focusing on data accuracy and labeling

Internship Medical Data Annotation roles are usually entry-level positions designed for students or newcomers to gain experience, often within internship programs. Medical Data Labeling Specialists are more experienced roles focused on precise data annotation for AI training, requiring relevant skills or certifications. While both involve working with medical data, internships are more educational, whereas specialists handle ongoing, professional data labeling tasks.

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 Internship Medical Data Annotation jobs in Virginia? For Internship Medical Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Internship Medical Data Annotation jobs in Virginia look for? The top searched job categories for Internship Medical Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Internship Medical Data Annotation jobs? Cities in Virginia with the most Internship Medical Data Annotation job openings:
Internship Medical Data Annotation jobs near you
Infographic showing various Internship Medical Data Annotation job openings in Virginia as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution.
AI/ML Test Engineer

AI/ML Test Engineer

Modern Technology Solutions, Inc.

Springfield, VA • On-site

$100K - $150K/yr

Full-time

Posted 22 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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