Company Description

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 we 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: wanna 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. Around 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. And yet, employing over 2.700 people all over the globe, we managed to keep the startup-mindset we started with over 10 years ago.

How does Docplanner Tech fit here?

At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.

We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us.

And why should you join us?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs.

We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote friendly.

Job Description

Job Description

As Data Annotation 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. The ideal candidate has experience in data annotation, transcription, and text analysis, combined with a basic understanding of medical terminology and concepts.

How would you be impacting our mission?

• 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: Italian Native and Full Professional Level of English
• 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.
• Text Analysis: Proficiency in creating and managing text patterns and dictionaries for NLP purposes.
• Attention to Detail: Exceptional ability to assess and improve data quality.
• Collaboration Skills: Strong interpersonal skills to coordinate with annotators and technical teams.
  
  Which skills are ‘bonus points’?
• Previous experience in AI, machine learning, or data preparation projects.
• Knowledge of multiple languages or dialects beyond the primary working language.
• Exposure to medical coding systems (e.g., ICD, CPT) or electronic health records (EHR).
• Experience leading linguistic teams.

Additional Information

Getting to know each other - What does the recruitment process look like?

• 30' Interview with a Global Talent Partner.
• 30' with the Hiring Manager
• 30' with the Team.
• Offer (subject to references)!

What you will get in return?

• 💶 Competitive salary appropriate to your experience.
• ⚕️ Private health plan.
• 📈 Share options plan after 6 months working with us.
• 👩‍🎓Free English classes.
• 👩‍💻Remote-Friendly working model.
• 🎂 Free birthday to spend the day with your loved ones!
• 🙌Join our team and share the greatness! Participate in our successful referral programme and get rewarded for bringing in exceptional talent like yours.
• 💙Last but most important: an amazing team that will welcome you and support you along the way.