Job Description

Company Description

Welcome to the good side of tech!

You might have heard about us, but with a different name: DocPlanner, Doctoralia, Znanylekarz… 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 the company’s history: Making people longer & healthier lives? We’re coupling the latest advances in AI & LLMs to the power of the network effects of our Marketplace to transform how people approach healthcare.

Docplanner at scale
We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 210,000 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 3.500 people all over the globe, we managed to keep the startup mindset we started with over 10 years ago.
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 people live longer & healthier lives, 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

As a Freelance Data Annotation Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets in Italian or Portuguese to power our machine learning and natural language processing (NLP) initiatives. You will work independently while maintaining clear communication with our NLP experts, ensuring the accuracy and relevance of our data for the market, and 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 in Italian or Portuguese 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.

Key Responsibilities:

• Prepare and maintain medically oriented datasets for machine learning purposes, ensuring high-quality data annotation and consistency.
• Follow and provide feedback on annotation and labeling conventions, as well as perform audio transcriptions in Italian (aligning audio with text and correcting text based on audio).
• Implement text patterns to detect and extract named entities in Italian, such as names, addresses, organization names, ID numbers, and medical terms.
• Contribute to dictionaries and taxonomies in Italian or Portuguese for use in NLP systems.
• Evaluate the correctness and accuracy of words, sentences, and text structures, ensuring linguistic quality and consistency.
• Deliver high-quality work within established deadlines and communicate proactively about project progress and challenges.

Qualifications

• Languages: Native Italian and/or Portuguese speaker 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 working with text patterns and dictionaries for NLP purposes.
• Attention to Detail: Exceptional ability to assess and improve data quality.
• Self-Management: Strong ability to work independently, manage time effectively, and consistently meet deadlines.
  
  

Which skills are ‘bonus points’?

• Previous experience in AI, machine learning, or data preparation projects.
• Knowledge of multiple languages or dialects.
• Exposure to medical coding systems (e.g., ICD, CPT) or electronic health records (EHR).
• Experience working as a freelancer on similar annotation or linguistic projects.

Additional Information

Remuneration: 15 euros / h

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