Data Annotation \(Medical\)
• Entry-Level
• Hybrid
• Data
Mark status as:
✨ The Role in One Sentence
Nia Health is looking for a Working Student - Data Annotation (Medical) to build high-quality datasets for medical computer vision applications.
📋 What You'll Likely Do
40%: Annotate medical images for training and evaluation of machine learning models.
30%: Support AI development team in labeling, reviewing, and structuring medical data.
30%: Monitor data consistency and quality and improve labeling workflow/tools.
🧑💻 Profiles Doing This Job
High Priority: Studying medicine, medical technology, biology, or related field with dermatology experience.
High Priority: Ability to handle medical images and interest in AI and data science.
📈 How This Role Will Look on Your CV
Contributed to building high-quality datasets for medical computer vision applications.