About this role
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Skills
HebrewTranscriptionAnnotationMetadata Tags
Key responsibilities
- Accurately transcribe and review Hebrew audio content, ensuring high fidelity to the source material.
- Correct machine-generated Hebrew transcriptions by identifying and fixing inaccuracies or misinterpretations.
- Apply detailed metadata tags and contextual annotations to enhance transcription quality and usability.
- Collaborate with the customer's team to deliver consistent, high-quality outputs on schedule.
- Provide clear feedback and suggestions to improve transcription guidelines and processes.
- Maintain an organized workflow when working with large datasets and multiple audio files.
- Uphold strong written and verbal communication throughout all interactions and documentation.
Required skills & qualifications
- Fluent-level proficiency in Hebrew with excellent listening and comprehension skills.
- Proven experience in audio transcription, annotation, and metadata tagging.
- Meticulous attention to detail, ensuring precise and consistent outputs.
- Strong written and verbal communication, with the ability to explain linguistic nuances clearly.
- Familiarity with audio file formats and transcription tools.
- Ability to work independently within remote, distributed teams.
- Demonstrated commitment to quality and continuous improvement.
Preferred qualifications
- Background as an audio engineer, data annotator, or professional transcriber.
- Experience correcting and enhancing machine-generated transcriptions.
- Previous work with large-scale or sensitive transcription projects.
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