Job Title: Lingala Bilingual Expert Job Type: Contractor Location: Remote 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.
Arabic (MSA) Transcription Expert
Job description
Job Title: Arabic (MSA) Transcription Expert
Job Type: Contractor
Location: Remote
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.
Key Responsibilities:
- Transcribe audio content in Modern Standard Arabic (MSA) with exceptional accuracy and fluency.
- Review and correct machine-generated transcriptions, ensuring correctness and clarity.
- Add relevant metadata tags and annotations to enrich the transcribed data for downstream AI processing.
- Identify contextual information in audio files and highlight linguistic nuances as needed.
- Uphold rigorous attention to detail to guarantee the highest quality of transcription and annotation.
- Collaborate with the customer’s team, providing clear written and verbal feedback on data quality.
- Maintain consistency and confidentiality while working with sensitive or proprietary content.
Required Skills and Qualifications:
- Fluent proficiency in Modern Standard Arabic, both written and spoken.
- Proven experience in audio transcription with a demonstrable record of accuracy and attention to detail.
- Strong expertise in adding and managing metadata tags and annotations for audio or text content.
- Excellent written and verbal communication skills in Arabic and English.
- Ability to spot and correct errors in machine-generated transcription outputs.
- Familiarity with transcription guidelines and best practices for language data quality.
- Self-motivated, reliable, and comfortable working independently in a remote environment.
Preferred Qualifications:
- Background as an audio engineer, data annotator, or professional transcriber.
- Experience contributing to linguistic data projects or handling large-scale transcription tasks.
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