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Use your language expertise to improve how spoken conversations and written summaries align across healthcare content. Language is at the heart of effective communication in healthcare. When medical conversations are transcribed and summarized, critical details such as names, organizations, locations, and other Protected Health Information (PHI) must be captured accurately and consistently. Even small discrepancies can reduce data quality and limit the usefulness of AI systems trained on this information. As a Multilingual PHI Annotation Specialist for Project Spring, you will review conversational audio and corresponding written summaries to ensure that the same PHI entities are correctly identified and aligned in both formats. Your work will help create high-quality multilingual datasets used to improve healthcare-related language technologies.
Job Responsibility:
Listen to conversational audio recordings
Review corresponding written summaries
Identify and label PHI entities, including: Person names, Organizations, Locations, Related identifying references
Ensure that entities appearing in the audio are accurately reflected in the written summary
Detect omissions, inconsistencies, and annotation errors
Follow detailed annotation guidelines and quality standards
Perform self-review to ensure accuracy and consistency before submission
Requirements:
Are a native speaker of one of the target locales listed above
Have strong knowledge of regional language use, colloquial expressions, and contemporary spoken language
Have at least one year of experience in data annotation, transcription, audio segmentation, or PII/PHI annotation
Can accurately identify named entities such as persons, organizations, and locations
Have excellent attention to detail
Can follow structured guidelines and maintain consistent quality standards