Freelance - Spanish Data Annotation Specialist (100% Remote within Europe)

How You'll Contribute As a Freelance Spanish Data Annotation Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets in Spanish 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 Spanish 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 Spanish 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 Spanish (aligning audio with text and correcting text based on audio). - Implement text patterns to detect and extract named entities in Spanish, such as names, addresses, organization names, ID numbers, and medical terms. - Contribute to dictionaries and taxonomies in Spanish for use in NLP systems. - Evaluate the correctness and accuracy of Spanish 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. What We're Looking For: - Languages: Native Spanish speaker and Full Professional Level of English - Linguistic Expertise: A degree or strong background in Italian linguistics, computational linguistics, or a related field. - Medical Knowledge: Familiarity with Spanish medical terminology or prior experience in