Data Annotation Specialist (Multiple Languages - 100% Remote)

Doctoralia Brasil; Rio de Janeiro; Teletrabalho; BRL 30.000 - 70.000; Tempo integral

Resumo da oferta

Uma empresa inovadora no setor de saúde está em busca de um Especialista em Anotação de Dados. Nesta função remota, você será responsável por preparar e curar conjuntos de dados linguísticos e médicos para impulsionar iniciativas de aprendizado de máquina e processamento de linguagem natural. Se você tem um forte histórico linguístico e é apaixonado por tecnologia e saúde, esta é a oportunidade ideal para você. Junte-se a uma equipe diversificada e faça parte de uma missão que visa tornar a experiência de saúde mais humana. Oferecemos um ambiente de trabalho flexível e um pacote de benefícios competitivo.

Serviços

Plano de saúde privado

Opções de ações após 6 meses

Modelo de trabalho híbrido

Dia de aniversário livre

Programa de indicação de talentos

Qualificações

• Experiência em anotação de dados e análise de texto é essencial.
• Familiaridade com terminologia médica ou experiência no setor de saúde.

Responsabilidades

• Preparar e manter conjuntos de dados médicos para aprendizado de máquina.
• Supervisionar o trabalho de anotadores e colaborar com engenheiros de NLP.

Conhecimentos

Análise de Texto

Transcrição

Anotação de Dados

Colaboração Interpessoal

Atenção aos Detalhes

Conhecimento Médico

Formação académica

Graduação em Linguística

Graduação em Linguística Computacional

Ferramentas

Ferramentas de Anotação de Dados

Descrição da oferta de emprego

Data Annotation Specialist (Multiple Languages - 100% Remote)

Welcome to the good side of tech

You might have heard about us, but with a different name:

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 toleave and read reviews about their visit. We then provided doctors with the technology tomanage 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 in13 countries so far, and more than90 million patients trust us every month. Around 300.000 specialists believe in us and our product, and so doleading 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.

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 bedknowing 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

AsMedical 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. 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.

What will help you thrive?

• Languages: At least be 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.
• 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.

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

• 30' Interview with a Global Talent Partner.
• Task Assessment: A real-life exercise simulating the work you would do here. You'll have a few days to prepare.
• 60' Interview with the Hiring Team to discuss your experience and the results of your task assessment, as if you were already part of the team.
• 30' Team Fit Interview, meeting with the Global Head of Operations & VP of New Ventures, AI/ML.
• 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.
• Hybrid 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.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Management and Manufacturing

Industries

• Technology, Information and Internet