Full-Time Data Annotation Specialist

How You’ll ContributeAs Data Annotation 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.

Key Responsibilities:

• 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 We’re Looking For:

• Languages: Polish Native 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 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.

What is the last date for applying to the job?

Which countries are accepted for this remote job?