Radiological Health AI Specialist
Quick facts
- Type
- Contract
- Location
- Remote
- Background
- Bachelor's degree
- Platform
- RiseDataLabs — 106 open jobs
- Apply
- Free to apply — never pay to get AI training work
Key Responsibilities
Train and improve AI models through meticulous data annotation and labeling processes.
Review and validate AI-generated content to ensure accuracy and reliability.
Provide domain expertise in radiological health to enhance AI model performance.
Collaborate with cross-functional teams on diverse AI training projects.
Ensure high-quality data for machine learning applications, adhering to industry standards.
Required Skills and Qualifications
Bachelor's degree in Radiological Health, Medical Imaging, or a related field.
Strong understanding of AI and machine learning principles.
Proficiency in data annotation tools and techniques.
Exceptional attention to detail and commitment to quality assurance.
Excellent communication skills for effective collaboration.
Preferred Qualifications
Experience in data annotation for AI training projects.
Advanced degree in a relevant field.
Familiarity with AI model evaluation metrics.
Previous experience working in a healthcare or radiological environment.
What We Offer
At Rise Data Labs, we value our team members and offer a competitive hourly rate, opportunities for professional growth, and a collaborative work environment.
About RiseDataLabs
Rise Data Labs hires AI training specialists to create and review data for language models. Openings cover programming (Python, JavaScript, C#, SQL, HTML), chemistry, finance, data annotation and non-English languages such as French.