Promaton is changing dental healthcare by automating diagnostics and treatment workflows through AI. Did you know currently several minutes are spent by every dental technician in the world on the design of every single crown? The automation of traditionally manual design work and use of artificially generated crowns drives our mission to provide faster and higher quality dental healthcare to patients all across the globe.
We are a startup growing rapidly and have a very strong ‘people first’ culture. We are passionate about technical innovation in healthcare, we value autonomy and implement best practices from top tech product companies. See our company page to learn more about what we do.
Data is an essential part of the AI products we build, and we need to continuously increase our algorithm output by optimizing (the quantity and quality of) the input data. You will work with product management, researchers and engineers to help solve product quality problems from the data side. Also you will bear responsibility for the data annotation itself and related processes.
You will manage multiple data projects within the company. We train AI algorithms by showing lots of examples and by taking the algorithm's erroneous outputs as new learnings. You will be managing the entire data lifecycle, from translating product discovery to data requirements, data sourcing, quality management, up to establishing roadmaps. All making sure we have large amounts of high quality data that enable and increase product performance. Together with our patented AI algorithms, this is the most important aspect of our business.
This role will be 24-40 hours per week.
From a data management perspective you will be working with our product management, machine learning research & engineers on increasing the quality of our products:
Vision on data management based on the product development goals; e.g. longer term goals and a plan for data quality control.
Structuring data annotation in Promaton: e.g. thinking up and implementing processes for setting requirements, data annotation, and data quality management. Extend focus from operations (the baseline) to other dimensions in general (data/annotation quality, innovation)
Independently defining data annotation OKRs, reporting on them, and rescoping if needed
Scope, manage and report on costs for data life cycle
Direct interaction with and being part of our product teams
Manage our internal and external data annotation teams (OKR progress, their happiness, planning)
Hiring and firing of annotators
Managing of input, output, problems and relationship of outsourcing companies
Direct interactions with external partners for all data related items (commercial partners, research partners, clinical experts, etc.)
Sourcing of data
Assessment of progress, problems and risks
Deployment & tracking of assignments
Measure and determining of the quality of annotations
Reviews & extensions of manuals
Minimal 2 years of technical or data management experience
Strong proactive and getting-things-done mentality
Technical affinity: you should be data and software literate so you can work with our fully digitalized environment and tools for viewing and extracting data (e.g. being able to use Linux to copy data and/or being able to perform some scripting).
People management skills: you know how to motivate your team and can help team members with problems
Hands on attitude (i.e. taking on the full responsibility of the role including operational work)
Strong in English writing and speaking, our main communication language is English
Ability to stand your ground (ability to give pushback to other stakeholders in the company to guard team output)
Bonus points if you have previous experience in the medical domain and/or with data annotation for computer vision or NLP
Sounds like you? Let's talk!