Expert Audio Transcriber, Najdi Arabic

Role Summary

We are hiring expert Najdi Arabic transcribers to convert audio recordings of native speakers into precise, conventionally formatted written transcripts. The work powers speech recognition, dialogue, and evaluation systems for major AI labs. Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic conditions.

You will be working at the level of expert linguistic judgment. This is not data entry. Decisions about orthography, code-switching, speaker attribution, disfluencies, and non-speech events shape the quality of every model trained on your output.

DIALECT AND SCOPE

Najdi Arabic as spoken across central and northern Saudi Arabia, the prestige dialect of inland Saudi Arabia and distinct from Hijazi and Eastern Arabian varieties. Project audio reflects authentic Najdi speech including older Bedouin features and the urban Riyadhi standard.

Primary speaker regions: Riyadh, Buraidah, Hail, Qassim region, Sudair.

Responsibilities

• Transcribe audio recordings into accurate, time-aligned written text following Perle's project-specific style guide
• Apply correct conventions for speaker identification, overlapping speech, disfluencies, fillers, false starts, and non-speech events such as laughter, background noise, and music
• Make principled orthographic decisions for dialectal, colloquial, and code-switched speech
• Flag ambiguous segments, uncertain speakers, and audio quality issues using project conventions
• Self-review every submission against Perle's quality bar before delivery
• Engage with QA reviewers on edge cases, calibration sessions, and style guide updates

Requirements

• Native fluency in Najdi Arabic with lifelong residence or deep immersion in central or northern Saudi Arabia
• Strong command of Modern Standard Arabic for orthographic decisions on dialectal speech
• Ability to distinguish Najdi from Hijazi, Khaleeji, and other Arabian varieties
• Familiarity with both urban Riyadhi standard and Bedouin-influenced rural speech
• At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience
• Demonstrated accuracy at the word level under deadline pressure
• Comfortable with web-based annotation platforms and variable-speed audio playback
• Reliable high-speed internet, quality headphones, and a quiet workspace
• Ability to commit to defined volume per week during active project phases

NICE TO HAVE

• Background in Gulf or Arabian Peninsula Arabic linguistics, translation, or media
• Prior experience annotating Najdi, Hijazi, or pan-Gulf speech data
• Working knowledge of neighboring Arabic varieties for cross-dialect audio
• Familiarity with IPA or other phonetic transcription systems
• Experience with verbatim versus clean-verbatim transcription conventions

About the Company

ABOUT PERLE

Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. Our partners include xAI, Samsung, ELM, and Unisys. Headquartered in San Francisco with experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.

Apply here: https://winnow.perle.ai/jobs/fab8c3db-3441-432a-bfe0-1fd68506059d

HOW WE WORK WITH YOU

• Paid pilot task before full onboarding so both sides can calibrate
• Per-task or per-minute compensation, with rates tied to audio complexity and turnaround
• Flexible scheduling, with volume scaling up and down based on active client projects
• Direct working relationship with Perle's linguistic leads and QA team
• Eligible for invitation to additional Perle expert projects across related domains

Additional Information

Apply through Winnow, Perle's job portal at winnow.perle.ai. Find the role for your language under Open Jobs, set up your candidate profile, and complete the fully automated interview, which takes about 25 minutes. We review applications within 24 hours and invite passing candidates straight to the project.

Apply here: https://winnow.perle.ai/jobs/fab8c3db-3441-432a-bfe0-1fd68506059d

Perle hires experts on the basis of skill, language proficiency, and demonstrated quality. We welcome applicants from every background and every region where our target languages are spoken.