Expert Audio Transcriber, Tunisian Arabic
关于 PERLE Perle 是一个人工智能基础设施公司，为世界领先的实验室和企业构建专家驱动培训数据，评估系统和应用 AI 产品。我们的合作伙伴包括 xAI,三星，ELM 和 Unisys.总部位于旧金山，拥有超过四十个市场的专家，我们专门从事需要真正的人类判断的工作：域名专业知识，语言细微度和文化忠诚性，而通用数据供应商无法提供。请申请这里：THE ROLE 我们正在聘请突尼斯阿拉伯文转录者将母语音频记录转换成精确的传统格式的书面转录。工作功能为主要人工智能实验室提供语音识别，对话和评估系统。声音范围从清洁的录像室到现实世界声学条件下的自然对话性语言。你将在专家语言判断水平上工作。这不是数据输入。有关拼写，代码交换，扬声器归因，不流动性和非言论事件的决定塑造了你输出训练的每个模型的质量.DIALECT 和 SCOPE 是突尼斯阿拉伯文 (Tounsi / Derja),具有大量伯尔巴，法国和意大利词汇影响力的马格里比品种。项目反映了突尼斯语语语与频繁的法语交换。日常使用者的主要区域：突尼斯，Sfax,苏塞，凯鲁安，比泽特，加布斯。你会做什么 ·按照 Perle 的项目特定风格指南将音频录像转化为准确，时间一致的书面文本 ·应用对扬声器识别，重叠语法，不流动性，填充剂，虚假开始和笑声，背景噪音和音乐等非语法事件的正确规约定 ·在交付前根据原则进行方言，常态和代码切换语法编写决定 ·使用项目约定方式使用模糊的段落，不确定的扬声器和音频质量问题 ·自行审查每个提交与 Perle 的质量条款相反 ·与 QA 审查员参与边缘情况，校准会议和风格指南更新必须有•在突尼斯生活或深入沉浸的突尼斯阿拉伯语中流利能力 ·对德尔贾言论进行拼写决策的现代标准阿拉伯语强掌握 ·足够的法语知识来转录法国借贷词和代码交换 ·熟悉沿海地区和内陆地区的突尼西亚区域变化 ·至少两年专业转载，字幕写作，法院报告
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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.
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THE ROLE
We are hiring expert Tunisian 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
Tunisian Arabic (Tounsi / Derja), a Maghrebi variety with substantial Berber, French, and Italian lexical influence. Project audio reflects everyday Tunisian speech with frequent code-switching to French.
Primary speaker regions: Tunis, Sfax, Sousse, Kairouan, Bizerte, Gabes.
WHAT YOU WILL DO
- 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
MUST HAVE
- Native fluency in Tunisian Arabic with lifelong residence or deep immersion in Tunisia
- Strong command of Modern Standard Arabic for orthographic decisions on Derja speech
- Working knowledge of French sufficient to transcribe French loanwords and code-switching
- Familiarity with regional Tunisian variation across coastal and inland areas
- 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 Maghrebi Arabic linguistics, translation, or journalism
- Prior experience annotating Tunisian or Maghrebi speech data
- Working knowledge of Tamazight or Italian for additional lexical cases
- Familiarity with IPA or other phonetic transcription systems
- Experience with verbatim versus clean-verbatim transcription conventions
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
HOW TO APPLY
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.
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EQUAL OPPORTUNITY
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.
Originally posted on Himalayas