Project Spring – Help Build High-Quality Multilingual Healthcare Data

OneForma (Centific); Deutschland; Remote; EUR 17,000 - 22,000; Full time

Job summary

OneForma (Centific) invites applications for a Multilingual PHI Annotation Specialist role within Project Spring. You will review conversational audio and corresponding summaries to ensure PHI entities are consistently identified across both formats, supporting high-quality multilingual healthcare datasets.

Native speakers of target locales with at least 1 year of data annotation experience are encouraged to apply.

Qualifications

• Native speaker of one of the target locales (French Belgium, German Austria, English Ireland, German Switzerland, French Canada).
• At least 1 year of experience in data annotation, transcription, audio segmentation, or PHI annotation.
• Able to identify named PHI entities and follow privacy guidelines.

Responsibilities

• Listen to conversational audio recordings.
• Review corresponding written summaries.
• Identify and label PHI entities, including: Person names
• Identify and label PHI entities, including: Organizations
• Identify and label PHI entities, including: Locations
• Identify and label PHI entities, including: 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
• Submit completed tasks for quality review
• Get paid for each approved task

Skills

PHI annotation

Multilingual

Transcription

Quality review

Job description

Home Jobs Project Spring - Help Build High-Quality Multilingual Healthcare Data Annotation Project Spring - Help Build High-Quality Multilingual Healthcare Data Worldwide Fixed Rate Per Hour Apply for this job

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.

What You’ll Do

• Listen to conversational audio recordings
• Review corresponding written summaries
• Identify and label PHI entities, including: Person names
• Identify and label PHI entities, including: Organizations
• Identify and label PHI entities, including: Locations
• Identify and label PHI entities, including: 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

Why This Matters

Artificial intelligence is increasingly used to process and summarize healthcare conversations. For these systems to perform reliably, they must accurately recognize and align key information across both spoken and written formats. Your annotations will help build comparable multilingual corpora that improve the performance of language models in healthcare settings, ultimately supporting better transcription, summarization, and information extraction technologies.

Available Languages

• French (Belgium)
• German (Austria)
• English (Ireland)
• German (Switzerland)
• French (Canada)

How It Works

• Apply and select your target locale
• Complete onboarding and review the annotation guidelines
• Receive access to audio files and written summaries
• Annotate and validate PHI entities according to project standards
• Submit completed tasks for quality review
• Get paid for each approved task

Who Can Participate

• 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