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Medical Data Annotation Jobs in Virginia (NOW HIRING)

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

... with data annotation platforms and active learning workflows for imagery Experience with ... Competitive options for Medical, Dental and Vision insurance * Employer-paid short-term and ...

Quevera LLC

Software Engineer II

Herndon, VA

$100K - $137K/yr

Medical/Dental/Vision ( 100% Employer Paid Medical Plan ) Short/Long Term Disability (Employer Paid ... with data annotation platforms and active learning workflows for imagery Experience with ...

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

Be Seen First

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 ...

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Medical Data Annotation information

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$9

$21

$50

How much do medical data annotation jobs pay per hour?

As of Jun 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
Infographic showing various Medical Data Annotation job openings in Virginia as of June 2026, with employment types broken down into 80% Full Time, 8% Part Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $45,148 per year, or $21.7 per hour.
Machine Learning Engineer - Computer Vision

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges.

Key Responsibilities:

  • Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
  • Optimize and fine-tune deep learning algorithms for real-time performance.
  • Work closely with the software engineers and product teams to identify opportunities for leveraging data.
  • Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
  • Evaluate and optimize machine learning models for accuracy, performance, and scalability.
  • Deploy models into production environments and monitor their performance to ensure reliability.
  • Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
  • Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
  • Document processes, models, and implementations to ensure reproducibility and scalability.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
  • Experience with data manipulation tools such as Pandas, NumPy, and SQL.
  • Strong programming skills in Python and C++.
  • Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
  • Proficiency in working with image and video data, including preprocessing and augmentation techniques.
  • Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
  • Strong communication skills and the ability to work collaboratively in a team environment.

Great to have:

  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with version control systems such as Git.
  • Understanding software engineering best practices, including code review, testing, and documentation.
  • Experience with Large Language Models (LLMs) is a great plus.
  • Experience with data annotation tools and processes.

Benefits:

  • Competitive Salary
  • Stock Option
  • Medical, Dental, and Vision Insurance
  • 401K
  • Paid Vacation
  • Ten paid holidays per year
  • Friendly and Learning environment
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 a kind. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients' challenges, our technical expertise, and our collaborative spirit are measures of our success.

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