.Welcome to the good side of tech!
You might have heard about us, but with a different name: Doctoralia.It all started 10 years ago, when we asked ourselves: is anyone in healthcare thinking about patients?We jumped in and empowered patients by giving them access to leave and read reviews about their visit.
We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients.And today is the day in which we ask you: will you join us in the next step of making the healthcare experience more human?Docplanner at scale: We are leaders in 13 countries so far, and more than 90 million patients trust us every month.
Almost 300,000 specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management, and One Peak Partners.
Employing over 2,700 people all over the globe, we managed to keep the startup mindset we started with over 10 years ago.Role Overview As a Medical Linguistic Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets to power our machine learning and natural language processing (NLP) initiatives.
You will collaborate closely with annotators, NLP experts, and machine learning engineers to ensure the accuracy and relevance of our data, contributing directly to the quality and reliability of our AI-driven products in the medical domain.
This role is ideal for candidates with a strong linguistic background who are passionate about working in the healthcare and technology space.Responsibilities Prepare and maintain medically oriented datasets for machine learning purposes, ensuring high-quality data annotation and consistency.Create and refine annotation and labeling conventions, as well as perform audio transcriptions (aligning audio with text and correcting text based on audio).Develop and implement text patterns to detect and extract named entities, such as names, addresses, organization names, ID numbers, and medical terms.Prepare and maintain dictionaries and taxonomies for use in NLP systems.Evaluate the correctness and accuracy of words, sentences, and text structures, ensuring linguistic quality and consistency.Supervise the work of annotators and maintain close collaboration with NLP and machine learning engineers to address project needs and challenges.Qualifications What will help you thrive?Languages: Proficient in English and one or more of the following languages (Spanish, Italian, Portuguese, German, Polish).Linguistic Expertise: A degree or strong background in linguistics, computational linguistics, or a related field.Medical Knowledge: Familiarity with medical terminology or prior experience in the healthcare domain.Data Annotation: Hands-on experience with data annotation, transcription, and labeling tools