Arabic (MSA) Transcription Expert

SaidGig; New York (NY); Remote; USD 14,000 - 28,000; Part time

Job summary

SaidGig is seeking a remote contractor to transcribe audio into Modern Standard Arabic with high accuracy and add detailed annotations. The role emphasizes turning real-world audio into quality training data, with no prior AI experience required and a strong focus on data quality.

Responsibilities include reviewing machine transcripts, applying metadata, and ensuring linguistic nuances are captured. Ideal candidates are self-motivated, bilingual in Arabic and English, and able to work

Qualifications

• Fluent written and spoken Modern Standard Arabic.
• Demonstrated audio transcription experience with a strong record of accuracy and attention to detail.
• Experience applying metadata tags and annotations to audio or text content.
• Strong written and verbal communication skills in Arabic and English.
• Ability to identify and correct errors in machine-generated transcriptions.
• Familiarity with transcription guidelines and language-data quality practices.
• Self-motivated, dependable, and comfortable working independently in a remote setting.
• Preferred: experience as an audio engineer, data annotator, or professional transcriber.
• Preferred: experience with linguistic data projects or large-scale transcription work.

Responsibilities

• Transcribe audio content in Modern Standard Arabic with exceptional accuracy and fluency.
• Review and correct machine-generated transcripts for accuracy, clarity, and linguistic correctness.
• Add and manage metadata tags and annotations for audio and text data.
• Identify relevant context in audio files and flag linguistic nuances when needed.
• Maintain rigorous quality standards, consistency, and attention to detail.
• Provide clear written and verbal feedback to the customer team on data quality.
• Handle sensitive or proprietary content confidentially.

Skills

Arabic transcription

Metadata tagging

Arabic-English proficiency

Quality review

Independent remote work

Attention to detail

Tools

Audio annotation tools

Job description

Role Overview

Help improve next-generation AI systems by producing accurate Modern Standard Arabic transcriptions and richly annotated language data. This remote contract role focuses on turning real-world audio into clear, high-quality training data. No prior AI experience is required.

Key Responsibilities

• Transcribe audio content in Modern Standard Arabic with exceptional accuracy and fluency.
• Review and correct machine-generated transcripts for accuracy, clarity, and linguistic correctness.
• Add and manage metadata tags and annotations for audio and text data.
• Identify relevant context in audio files and flag linguistic nuances when needed.
• Maintain rigorous quality standards, consistency, and attention to detail.
• Provide clear written and verbal feedback to the customer team on data quality.
• Handle sensitive or proprietary content confidentially.

Qualifications

• Fluent written and spoken Modern Standard Arabic.
• Demonstrated audio transcription experience with a strong record of accuracy and attention to detail.
• Experience applying metadata tags and annotations to audio or text content.
• Strong written and verbal communication skills in Arabic and English.
• Ability to identify and correct errors in machine-generated transcriptions.
• Familiarity with transcription guidelines and language-data quality practices.
• Self-motivated, dependable, and comfortable working independently in a remote setting.
• Preferred: experience as an audio engineer, data annotator, or professional transcriber.
• Preferred: experience with linguistic data projects or large-scale transcription work.

Work TermsRemote contract engagement.

Compensation$10 to $20 per hour.