Data Annotation

Arabic (MSA) Transcription Expert

Status: Open

Micro1

Pay
$10–$20/hr
Location
Remote
Employment type
Contractor
Openings
10
Posted
2026-06-10

About this opportunity

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.

Required skills

  • Arabic
  • Transcription
  • Metadata Tags
  • Annotation
  • Attention to Detail

What you'll do

  • 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.

Requirements

  • 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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