Offer summary

Qualifications:

Dental degree or equivalent qualification as a dentist, specialist, or dental technician., Strong understanding of implant and digital dentistry., Experience with clinical data validation and annotation processes., Interest in AI-driven dental solutions and product development..

Key responsibilities:

Review and validate clinical data annotations for CBCT and optical scan datasets.

Provide feedback to annotation teams and help define quality standards.

Support the selection and curation of high-quality datasets for training and testing.

Advise product teams on clinical relevance and usability during evaluation studies.

Job description

About Promaton

Promaton is reshaping dental healthcare by automating treatment planning workflows with AI—making dentistry more accurate, accessible, and affordable. Since 2017, we’ve pioneered automation in implantology, restorative design, and orthodontics.

In partnership with Straumann Group, we develop world-class AI tools for CBCT and IOS segmentation, treatment planning, and 3D visualization. We combine deep dental expertise with generative AI and intuitive web-based tools to deliver real clinical impact.

We’re a remote-first team of 50+ people, headquartered in Amsterdam, driven by transparency, ownership, and a shared mission to improve global dental care.

About the Role

We are looking for a Clinical (Dental) Expert to support our AI and product development teams. Your primary focus will be reviewing and validating clinical data annotations across modalities such as CBCT scans, optical scans, and other imaging. Beyond that, you’ll play a key role in clinical validation of our models and features, support research efforts, and act as a trusted advisor to product teams on clinical workflows and user needs.

This role is ideal for a dentist, specialist, or dental technician with a strong grasp of implant and digital dentistry, and an interest in shaping the future of AI-driven dental solutions.

Key Responsibilities

Annotation & Data Review (Core Focus)

Review and validate clinical data annotations for CBCT and optical scan datasets
Provide clear feedback to annotation teams and help define quality standards
Help design and maintain clinical annotation guidelines

Clinical Validation & Data Curation

Support selection and curation of high-quality datasets for training and testing
Assist in defining and reviewing test cases for clinical performance evaluations
Collaborate with machine-learning and data teams to assess model output quality and define edge cases