Medical AI Data Annotator

VigorCare Pediatric Services; Dallas (TX); On-site; USD 54,000 - 62,000; Full time

Job summary

VigorCare Pediatric Services is seeking a detail-oriented Medical AI Data Annotator to support AI development in pediatric care. You will review and annotate medical data to ensure precise labeling across images and texts, collaborating with healthcare professionals and data scientists to meet annotation requirements.

The role emphasizes maintaining detailed documentation of guidelines and procedures, participating in quality assurance, and staying current with best practices in AI technologies

Qualifications

• Experience in data annotation or a related field is preferred.
• Strong analytical skills and a foundational understanding of medical terminology.
• Proficiency in documenting annotation guidelines and procedures.

Responsibilities

• Review and annotate medical data to support AI development in pediatric care.
• Analyze and interpret medical images, texts, and other healthcare-related data.
• Ensure accurate and consistent labeling of data sets to improve machine learning models.

Skills

Data annotation

Medical terminology

Attention to detail

Job description

We are seeking a detail-oriented individual to join our team as a Medical AI Data Annotator. In this role, you will be responsible for reviewing and annotating medical data to support the development of AI-driven solutions in pediatric care. Your primary tasks will include:

• Analyzing and interpreting medical images, texts, and other healthcare-related data.
• Ensuring accurate and consistent labeling of data sets to enhance machine learning models.
• Collaborating with healthcare professionals and data scientists to understand annotation requirements and improve processes.
• Maintaining detailed documentation of annotation guidelines and procedures.
• Participating in quality assurance processes to validate the accuracy and reliability of annotated data.
• Staying updated on best practices in data annotation and AI technologies in the medical field.

The ideal candidate will possess strong analytical skills, attention to detail, and a foundational understanding of medical terminology. Experience in data annotation or a related field is preferred.