About this role.
This freelance role prepares and curates Spanish-language medical datasets supporting machine-learning and NLP products. Responsibilities include annotation, audio transcription alignment, entity extraction, dictionary and taxonomy development, and linguistic quality review. The specialist works independently while coordinating with NLP experts to apply labeling conventions and meet deadlines. Success requires native-level Spanish, professional English, strong attention to detail, annotation experience, and familiarity with medical terminology.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
3/5Pace & Pressure
3/5Autonomy Level
5/5Communication Load
3/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I begin by thoroughly reviewing the annotation guide and creating a personal checklist of edge cases. I apply the guidelines consistently, document unclear examples, and raise recurring ambiguities early so that the team can refine the conventions.
I compare the recording and transcript segment by segment, correcting omissions, substitutions, punctuation, speaker details, and timing alignment according to the project rules. I pay particular attention to regional pronunciation, medical vocabulary, and unintelligible audio, which I flag using the agreed convention.
I would use the defined entity schema and contextual cues to distinguish names, organizations, addresses, identifiers, and medical terms. I would validate difficult cases against project dictionaries and terminology references, while escalating ambiguous mentions rather than making unsupported assumptions.
I would collect representative examples, describe the source of inconsistency clearly, and propose a specific clarification to the NLP team. Until guidance is confirmed, I would track affected items to ensure they can be reviewed and corrected consistently.
I break the assignment into measurable daily milestones, estimate time for quality checks, and monitor progress against the delivery date. If a dependency or ambiguity threatens timing or quality, I communicate it promptly along with a proposed resolution.
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 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 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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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