Job Description

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

Your primary task is to annotate and validate PHI entities across spoken and written healthcare content. This includes:

• 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

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

We are currently recruiting native speakers for the following locales:

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

How It Works

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

Who Can Participate

You are eligible if you:

• 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

What You’ll Need

• A laptop or desktop computer
• Reliable internet connection
• Headset or headphones
• Smartphone
• Microphone

Project Details

• Project Type: Multilingual Audio Annotation
• Location: Remote
• Project Duration: Through December 31, 2026
• Priority: Medium
• Start Date: Immediate onboarding available

Excluded Countries

Applications are not accepted from the following countries:
Belarus, China, Cuba, Iraq, Iran, North Korea, Russia, Sudan, Syria, Ukraine, and Venezuela.

Ready to Apply?

If you have strong language skills and experience with annotation or transcription, Project Spring offers an opportunity to contribute to the development of advanced healthcare AI systems while working remotely on a flexible schedule.

Select your language and apply today.

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