Polish Data Annotation Specialist

New

Skills

Communication Data Annotation Machine Learning Medical Terminology Transcription

Join Docplanner as a Freelance Polish Data Annotation Specialist and help transform healthcare through the power of AI and natural language processing. You will curate and prepare linguistically and medically oriented datasets in Polish, contributing to the accuracy and reliability of our AI-driven products. This 100% remote role is ideal for professionals passionate about healthcare and technology, offering flexible work arrangements and the opportunity to make a meaningful impact.

Key Responsibilities
  • Prepare and maintain high-quality Polish medical datasets for machine learning and NLP projects.
  • Annotate, label, and transcribe medical data, aligning audio with text and ensuring consistency.
  • Implement text patterns to detect and extract named entities such as names, addresses, and medical terms.
  • Contribute to Polish dictionaries and taxonomies for NLP systems.
  • Evaluate and ensure linguistic accuracy and data quality in all deliverables.
  • Communicate proactively with NLP experts regarding project progress and challenges.
Required Skills & Qualifications
  • Native Polish speaker with full professional proficiency in English.
  • Degree or strong background in Polish linguistics, computational linguistics, or a related field.
  • Familiarity with Polish medical terminology or prior healthcare experience.
  • Hands-on experience with data annotation, transcription, and labeling tools.
  • Proficiency in text analysis, pattern recognition, and NLP tools.
  • Exceptional attention to detail and data quality assessment.
  • Strong ability to work independently and manage time effectively.
  • Bonus: Previous experience with AI, machine learning, or medical coding systems (e.g., ICD, CPT).
  • Bonus: Knowledge of additional languages or dialects beyond Polish and English.
  • Bonus: Experience working as a freelancer on linguistic annotation projects.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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