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Commission Medical Data Annotation Jobs in Virginia

Medical Review Analyst II

Ashburn, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Norfolk, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Richmond, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Roanoke, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Norfolk, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Roanoke, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Richmond, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

Medical Review Analyst II

Ashburn, VA · On-site

$22.50 - $40.51/hr

The amount and availability of any bonus, commission, benefits, or any other form of compensation ... medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase ...

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 ...

Software Engineer II

Herndon, VA · On-site +1

$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 ...

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Commission Medical Data Annotation information

What is medical data annotation?

Medical data annotation involves labeling and categorizing medical images, texts, or recordings to help train machine learning models for healthcare applications. This process requires attention to detail and knowledge of medical terminology, often using specialized tools and software. Accurate annotation improves the performance of AI systems used in diagnostics, treatment planning, and medical research.

What are some common challenges faced in a Commission Medical Data Annotation role and how can they be addressed?

In a Commission Medical Data Annotation role, professionals often encounter challenges such as interpreting complex medical terminology, ensuring consistency in labeling, and maintaining high accuracy under tight deadlines. To address these, it is helpful to regularly reference standardized guidelines, participate in team reviews or audits, and seek clarification from medical experts when needed. Collaborating with peers and utilizing annotation tools efficiently can also help streamline the process and minimize errors, ensuring both quality and productivity.

How much does data annotation actually pay?

Commission medical data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Pay rates can vary based on experience, the platform used, and whether the work is freelance or full-time, with some projects offering per-task compensation instead of hourly wages.

What is the difference between Commission Medical Data Annotation vs Medical Data Labeler?

AspectCommission Medical Data AnnotationMedical Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, tech-focusedRemote or office-based, tech-focused
Industry UsageUsed in AI training for healthcare applicationsUsed in AI training for healthcare applications
Search IntentComparison of roles in medical data annotationComparison of roles in medical data annotation

Both roles involve labeling medical data to train AI systems, often requiring similar skills and work environments. The main difference lies in the scope: Commission Medical Data Annotation may involve more specialized tasks or higher-level responsibilities, whereas Medical Data Labeler typically refers to the basic task of data labeling. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

Is data annotation a legitimate job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It often requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. However, job quality and pay can vary, so it is important to research the employer before applying.

What are the key skills and qualifications needed to thrive as a Commission Medical Data Annotation Specialist, and why are they important?

To thrive as a Commission Medical Data Annotation Specialist, you need a solid understanding of medical terminology, data annotation techniques, and attention to detail, often with a background in life sciences or healthcare. Familiarity with annotation platforms, data labeling tools, and compliance standards such as HIPAA is typically required. Strong analytical skills, meticulousness, and effective communication make someone stand out in this position. These skills are crucial for ensuring high-quality, accurate data that supports reliable AI and research outcomes in medical applications.

What are commission medical data annotation jobs?

Commission medical data annotation jobs involve labeling and categorizing medical data—such as images, clinical notes, or audio recordings—for use in training machine learning models in healthcare. Workers are typically paid based on the amount of data they accurately annotate, rather than an hourly wage. Tasks may include identifying diseases in medical images, transcribing doctor notes, or classifying medical records. These jobs are critical for developing reliable artificial intelligence systems in medicine, supporting applications like diagnostics, treatment planning, and research. Attention to detail, understanding of medical terminology, and adherence to privacy standards are essential in these roles.

How much does data annotation pay physicians?

Physicians typically do not perform data annotation; however, if involved in medical data annotation roles, pay can range from $15 to $50 per hour depending on experience, complexity of tasks, and the employer. These roles often require medical knowledge and attention to detail, and pay varies by project and location.
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 Commission Medical Data Annotation jobs in Virginia? For Commission Medical Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Commission Medical Data Annotation jobs in Virginia look for? The top searched job categories for Commission Medical Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Commission Medical Data Annotation jobs? Cities in Virginia with the most Commission Medical Data Annotation job openings:
Machine Learning Engineer - Computer Vision

Machine Learning Engineer - Computer Vision

CaseGuard

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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.