Remote Hebrew Podcast Transcription Expert

Braintrust; United States; A distancia; USD 124.000 - 152.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Descripción de la vacante

Braintrust AI is seeking a detail-oriented Podcast Audio Transcription Specialist fluent in Hebrew to convert podcast audio into accurate, well-formatted transcripts. This fully remote role rewards precision and timely delivery, with compensation set at $100 per completed transcription hour.

Experience 3–5 years in transcription is preferred, and the schedule is flexible for an ongoing workload. Responsibilities include high-accuracy Hebrew transcription, proper grammar and formatting, speaker

Formación

• Fluency in Hebrew (native or near-native preferred).
• Strong grammar, spelling, and written Hebrew.
• Ability to understand different accents and varying audio quality.
• Strong attention to detail and accuracy.
• Ability to work independently and manage time effectively.

Responsabilidades

• Transcribe podcast episodes from audio to text in Hebrew with high accuracy.
• Ensure proper grammar, punctuation, and formatting throughout transcripts.
• Identify speakers and structure dialogue clearly.
• Edit and proofread transcripts for clarity and readability.
• Meet turnaround times for assigned episodes.
• Follow any provided style guides or formatting requirements.

Conocimientos

Hebrew fluency

Attention to detail

Time management

Listening skills

Transcription tools

Herramientas

Transcription tools

Descripción del empleo

Braintrust AI is seeking a detail-oriented Podcast Audio Transcription Specialist fluent in Hebrew to convert podcast audio into accurate, well-formatted transcripts. This fully remote role rewards precision and timely delivery, with compensation set at $100 per completed transcription hour.

Experience 3–5 years in transcription is preferred, and the schedule is flexible for an ongoing workload. Responsibilities include high-accuracy Hebrew transcription, proper grammar and formatting, speaker