Freelance Spanish NLP Annotator - Remote Europe — Columbus
Traveler-Friendly Insight
This is a fully freelance, remote-friendly role that is well-suited to digital nomads — there are no fixed office hours or location requirements stated, and the work is deliverable-based rather than time-tracked. That said, you'll need to communicate with NLP experts and meet deadlines, so some overlap with European business hours is advisable.
Timezone flexibility: Docplanner is a European company (headquartered in Warsaw and Barcelona), so expect light timezone overlap with CET/CEST. This is manageable from most nomad hubs in the Americas, Southeast Asia, or Africa with some schedule adjustment.
Visa considerations: As a freelance contract role, you handle your own tax and legal status. Popular nomad visa options include:
- Portugal (D8 Digital Nomad Visa): Excellent for Spanish-speaking annotators; low cost of living in Porto or Coimbra.
- Spain (Digital Nomad Visa): Ideal given the Spanish-language focus; Barcelona and Valencia are strong NLP/tech communities.
- Mexico or Colombia (tourist stays): Native Spanish-speaking environments that enrich the role; no dedicated nomad visa needed for short stays.
No salary data is disclosed, which is common for freelance annotation contracts. However, these projects typically pay per task or per hour. In Lisbon or Medellín, even modest freelance rates can cover a comfortable lifestyle. There are no travel perks mentioned, so budget your own coworking costs.
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 machine learning and natural language processing (NLP) initiatives. You will work independently while maintaining clear communication with NLP experts, ensuring the accuracy and relevance of data for the Spanish market, and contributing directly to the quality and reliability of 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, and 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 linguistics, computational linguistics, or a related field.
- Medical Knowledge: Familiarity with Spanish 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.
Bonus Points:
- Previous experience in AI, machine learning, or data preparation projects.
- Knowledge of multiple languages or dialects beyond Spanish and English.
- 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.