Radiological Health AI Specialist

Visible Hands; Delhi; A distancia; INR 207.000 - 400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive hourly rate

Professional growth

Collaborative work environment

Descripción de la vacante

Rise Data Labs seeks a Radiological Health AI Specialist to support AI model training through precise data annotation and labeling. You will review AI-generated content for accuracy and provide domain insights to elevate performance across projects.

The role emphasizes meticulous data work, collaboration with cross-functional teams, and adherence to industry data standards in a remote-first environment.

Formación

• Proficiency in AI and ML concepts relevant to data labeling.
• Experience with data annotation workflows and quality control.
• Strong attention to detail and accuracy in labeling tasks.
• Excellent written and verbal communication for collaboration.

Responsabilidades

• Annotate and label radiological health data to train AI models.
• Review AI-generated content for accuracy and reliability.
• Provide domain expertise in radiological health to improve model performance.
• Collaborate with cross-functional teams on AI training projects.
• Ensure high-quality data following industry standards.

Conocimientos

AI/ML basics

Data annotation

Attention to detail

Communication

Educación

Bachelor's degree in Radiological Health or related field

Herramientas

Data annotation tools

Descripción del empleo

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As a Radiological Health AI Specialist at Rise Data Labs, you will play a pivotal role in training and enhancing our AI models through precise data annotation and labeling. Your expertise will be essential in reviewing and validating AI-generated content for accuracy while providing domain-specific insights to elevate our AI performance across various projects.

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.