Remote Radiological Health AI Specialist

Risedatalabs; USA; Remote; USD 28.000 - 55.000; Vollzeit

Benefits dieser Stelle

Competitive hourly rate

Professional growth

Collaborative work environment

Zusammenfassung

Rise Data Labs is seeking a Radiological Health AI Specialist to help train and refine our AI models through precise data annotation and labeling in radiological health domains. You will review AI-generated content for accuracy, apply domain insights, and collaborate with cross-functional teams on diverse AI training projects, ensuring high-quality data for model development.

This remote-first role welcomes experts worldwide who bring a strong background in radiological health, medical imaging,

Qualifikationen

• Bachelor’s degree in Radiological Health or related field.
• Strong understanding of AI and ML principles.
• Proficiency with data annotation tools and techniques.
• Exceptional attention to detail and quality assurance.
• Excellent communication for collaboration.

Aufgaben

• Train and improve AI models through meticulous data annotation and labeling.
• Review and validate AI-generated content for accuracy and reliability.
• Provide domain expertise in radiological health to enhance AI performance.
• Collaborate with cross-functional teams on diverse AI training projects.
• Ensure high-quality data for ML applications per industry standards.

Kenntnisse

Radiological health

Data annotation

AI/ML concepts

Attention to detail

Communication skills

Ausbildung

Bachelor's degree in Radiological Health / Medical Imaging or related field

Tools

Annotation software

Jobbeschreibung

Rise Data Labs is seeking a Radiological Health AI Specialist to help train and refine our AI models through precise data annotation and labeling in radiological health domains. You will review AI-generated content for accuracy, apply domain insights, and collaborate with cross-functional teams on diverse AI training projects, ensuring high-quality data for model development.

This remote-first role welcomes experts worldwide who bring a strong background in radiological health, medical imaging,