Clinical Data Labeler

Align Technology, Inc; Deutschland; Remote; EUR 25.000 - 35.000; Teilzeit

Zusammenfassung

Align Technology, Inc is seeking a Clinical Data Labeler to work remotely in Germany. The role entails analyzing dental images and contributing to AI model improvement through data preparation. Candidates should have a background in dentistry, strong analytical skills, and a keen interest in technology.

Leistungen

Attractive company pension plan

Meal allowance

Modern work equipment

Employee discounts on Invisalign products

Health and wellness programs

Learning opportunities

Inclusive work environment

Qualifikationen

• Enrolled student of dentistry (from the 6th semester) or Bachelor's Degree in Dentistry.
• 1+ year of clinical experience required.
• Very good written and spoken English skills (at least B2).

Aufgaben

• Analyze 2D dental images/radiographs and 3D models using various labeling tools.
• Assist the AI team on the creation of different datasets.
• Perform quality control to ensure high data quality and data integrity.

Kenntnisse

Communication Skills

Analytical Thinking

Attention to Detail

Problem Solving

Interest in Technology

Ausbildung

Bachelor's Degree in Dentistry

Jobbeschreibung

Clinical Data Labeler

Department: Clinical

Employment Type: Part Time

Location: EMEA-Germany-Xray-Remote

Description

At Align Technology , we believe a great smile can transform a person's life, so we create technology that gives people the confidence to take on whatever's next. We revolutionized the orthodontic industry with the introduction of the Invisalign system, and we have never lost sight of that spirit of innovation. Our diverse and collaborative teams are constantly pushing the boundaries of what's possible.

About this opportunity

As a Clinical Data Labeler m/f/d (Mini Job) you will be working hand in hand with Aligns various AI teams by helping them with the creation of annotated dental datasets, consisting of 3D scans and 2D images/radiographs where different dental elements and pathologies are annotated/labeled, always ensuring high data quality and data integrity. Those datasets will be used to create the latest AI technologies for the dental industry.

Key Responsibilities

• Analyze 2D dental images / radiographs and 3D models using various labeling tools
• Learn firsthand how AI works and contribute valuable input to improve ML models and algorithms.
• Explore clinical use cases and propose ideas to enhance overall business and customer experience
• Assist the AI team on the creation of different datasets.
• Perform quality control to ensure high data quality and data integrity.
• Improve labeling workflow in close collaboration with the development teams.
• Test the labeling software ensuring optimal function of the labeling tool.
• Document special cases as well as findings during the annotation process

Skills, Knowledge & Expertise

• Enrolled student of dentistry (from the 6th semester) OR Bachelor's Degree in Dentistry (or equivalent/higher) with 1+ year of clinical experience
• Clinical experience in patient treatment
• Very good written and spoken English skills (at least B2)
• Strong communication skills for written and verbal correspondence
• Efficient working style and responsiveness
• Analytical thinking & problem solving skills with high attention to detail
• Interest in technology & innovation

Attractive benefits

• Attractive company pension plan: We support you in securing your financial future.
• Meal allowance: Enjoy your meals with financial support from us.
• Modern work equipment: We provide you with high-quality hardware to ensure optimal working conditions.
• Employee discounts on Invisalign products: Benefit from exclusive discounts on our innovative products.
• Health and wellness programs: We promote your physical and mental well-being to help you feel your best.
• Learning opportunities: Take advantage of extensive online learning resources and receive support for your individual development plans.
• An inclusive work environment: Work in a diverse and collaborative environment that values and encourages teamwork.