Remote French Language Specialist: Transcription & QA

YO AI Labs

Lausanne

Remote

CHF 69.000 - 124.000

Teilzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

Mach aus dieser Rolle ein Bewerbungsgespräch — ein Lebenslauf und ein Anschreiben, die genau auf das zugeschnitten sind, was dieser Arbeitgeber sucht.

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Zusammenfassung

YO AI Labs is seeking a French Language Expert to support an AI training project through transcription, linguistic review, and annotation. This remote contractor role requires native-level French and strong language skills, with attention to detail and ability to work independently.

Responsibilities include reviewing French transcripts, adding metadata and annotations, analyzing dialects, and providing actionable feedback to ensure high-quality data for machine learning workflows.

Qualifikationen

  • Native-level French proficiency required.
  • Strong spoken and written French comprehension required.
  • Audio transcription and linguistic review experience preferred.
  • Metadata tagging and annotation capabilities.

Aufgaben

  • Review and correct French audio transcriptions for accuracy.
  • Add metadata tags and linguistic annotations to transcripts.
  • Analyze audio for dialects, nuances, and transcription errors.
  • Provide clear feedback and support quality improvements.
  • Collaborate with the project team to meet quality standards.
  • Maintain attention to detail and follow project guidelines.
  • Complete assignments within required deadlines.

Kenntnisse

Native French
French comprehension
Audio transcription
Linguistic review
Metadata tagging
Attention to detail
English communication
Remote work

Jobbeschreibung

YO AI Labs is seeking a French Language Expert to support an AI training project through transcription, linguistic review, and annotation. This remote contractor role requires native-level French and strong language skills, with attention to detail and ability to work independently.

Responsibilities include reviewing French transcripts, adding metadata and annotations, analyzing dialects, and providing actionable feedback to ensure high-quality data for machine learning workflows.

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