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We are seeking a detail-oriented Dental Annotation Specialist with a dental background to join our computer vision team. You will use CVAT (Computer Vision Annotation Tool) to label complex dental imaging data. Your understanding of tooth morphology, pathology, and 3D dental anatomy is critical to training our AI models for diagnosis, treatment planning, and restorative dentistry.
Why we're cool:
* Work with an international and multicultural team
* Competitive salary
* Teeth aligner and whitening benefits
* Collaborative work environment and positive culture
* Opportunities to grow within a fast-paced, innovative company and real start-up experience with big challenges
* Fresh fruits and healthy snacks at the office
What You'll Do:
Image & 3D Scan Annotation (CVAT)
* Use advanced CVAT features (polygons, masks, bounding boxes, and cuboids) to annotate 2D X-rays (OPTG/Panoramic, CBCT slices) and 3D data (optical scans from iTero, 3Shape, and CBCT volumes).
* Perform semantic & instance segmentation of teeth, restorations, caries, implants, nerves (mandibular canal), and pathologies.
Dental-Specific Tasks
* OPTG (Panoramic Radiographs): Segment individual teeth (by FDI/Universal numbering system), identify impacted teeth, cysts, and bone loss.
* CBCT: Label axial, coronal, and sagittal views; segment root canals, maxillary sinuses, and alveolar bone.
* 3D Optical Scans (iTero, 3Shape): Annotate scan meshes – separate teeth from gingiva, mark margins of crowns/bridges, and label malocclusion features.
* Intraoral Photos: Annotate gingival recessions, caries lesions, and tooth discoloration using polygon tools.
Quality Assurance & Consistency
* Create, update, and manage detailed annotation guidelines to ensure standardized labeling and clarify edge cases for the annotation team.
* Follow annotation guidelines (e.g., "label each tooth from 1-32," "do not include restorations in the tooth mask").
* Review and correct annotations from non-dental annotators.
* Flag ambiguous cases (e.g., differentiating enamel vs. composite on an optical scan).
Collaboration
* Work with AI engineers to refine labeling taxonomies (e.g., distinguish "caries into dentin" vs. "caries into enamel").
* Provide feedback on CVAT plugin features needed for dental 3D data (e.g., slice synchronization for CBCT).
Requirements:
Dental background (any of the following):
* Certified Dental Assistant (CDA) with 2+ years of chairside experience.
* Registered Dental Hygienist (RDH).
* Dental Technician (specializing in CAD/CAM – iTero/3Shape).
* Dental student or graduate (DDS/DMD/BDS).
* Orthodontic background best suited
Technical skills:
* 1+ year experience with CVAT, Supervisely, or Labelbox (specifically polygon & mask segmentation).
* Ability to interpret OPTG, CBCT, and intraoral 3D scans.
* Basic understanding of segmentation (pixel-level vs. bounding box).
Soft skills: High attention to anatomical detail, patience for repetitive tasks, ability to follow strict guidelines.
Nice to have:
* Familiarity with DICOM and STL/PLY file formats.
* Experience with 3D annotation in CVAT (using orthographic views or point clouds).
* Knowledge of dental numbering systems (FDI, Universal, Palmer).
* Previous work on AI training data for restorative or orthodontic AI (e.g., Diagnocat, Overjet, Pearl, Orca Dental).
At Impress we cultivate a culture of inclusion and diversity. xohynlm We celebrate our employees' individual strengths, views, and experiences and we encourage all candidates to apply, without regard to race, color, religion, gender identity, sexual orientation, age, national origin, disability, or any other fa ctor.