Remote Hindi Language QA Specialist

Zekai

United States

Remote

USD 34.000 - 55.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Zekai is seeking a Hindi Bilingual Expert for a 100% remote contractor role. You will listen to Hindi audio clips, evaluate nativeness and fluency, and provide detailed written feedback in English to help train AI models.

Preferred candidates are native Hindi speakers with at least English level B2, and a background in linguistics or phonetics. Experience in audio analysis or transcription is valued, with strong attention to detail and clear communication.

Qualifikationen

  • Native-level proficiency in Hindi
  • Minimum B2 level proficiency in English
  • Background in linguistics, phonetics, or related fields preferred
  • Experience with audio analysis or transcription valued
  • Strong attention to detail and clear written communication
  • Familiarity with media, communications, or teaching assets

Aufgaben

  • Listen to Hindi audio clips and evaluate native-ness and fluency of speech or model output
  • Assess pronunciation, intonation and linguistic authenticity per guidelines
  • Document assessments with clear, concise written feedback in English
  • Provide detailed justifications for each evaluation to ensure clarity and consistency
  • Collaborate with project coordinators to clarify requirements or address ambiguities
  • Contribute insights to improve AI model performance in Hindi language understanding and generation
  • Ensure timely and accurate completion of audio review tasks with high quality

Kenntnisse

Hindi language proficiency
English proficiency (B2)
Linguistics/phonetics background
Audio analysis/transcription

Jobbeschreibung

Zekai is seeking a Hindi Bilingual Expert for a 100% remote contractor role. You will listen to Hindi audio clips, evaluate nativeness and fluency, and provide detailed written feedback in English to help train AI models.

Preferred candidates are native Hindi speakers with at least English level B2, and a background in linguistics or phonetics. Experience in audio analysis or transcription is valued, with strong attention to detail and clear communication.

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