Expert Audio Transcriber, Kazakh
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，评估系统以及应用 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 我们正在聘请哈萨克斯坦专业转录者将母语音频记录转换成精确，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。声音范围从干净的录音室到现实世界声学条件下的自然交谈演讲。你将在专家语言判断水平上工作。这不是数据输入。关于拼写，代码切换，扬声器归因，不流动性和非言论事件的决定塑造了你出生的每个模型的质量.Kazakhstan 各地使用的 DIALECT AND SCOPE Kazakh,目前从西里尔文体转变至拉丁字母。项目音频反映了日常说法，经常更改代码到俄罗斯语，特别是在城市地区：根据 Perle 的项目特定风格指南 · 对扬声器识别，重叠语音，不流动性，填充剂，虚假启动以及笑容，背景噪音和音乐等非语音事件进行正确的规范应用 · 在每个项目的公约中使用模糊的段落，不确定的扬声器和音频质量问题 · 自行提交与 Perle 的质量杆之前交付 ·与 QA 审查员接触到边缘情况，校准会议和风格指南更新必须有•在哈萨克斯坦生活或深入沉浸的哈萨克语中流利能力 ·高精度读写加沙克字母书法和新拉丁文字识别 ·舒适地转录天然哈萨克-俄罗斯代码交换 ·强耳朵对区域哈萨克口音 ·至少两年专业转录，标题，法院报告，广播，翻译或语言注释经验 · Dem
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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 Kazakh 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
Kazakh as spoken across Kazakhstan, currently transitioning from Cyrillic to Latin script. Project audio reflects everyday speech with frequent code-switching to Russian, especially in urban areas.
Primary speaker regions: Almaty, Astana, Shymkent, Karaganda, Aktobe, Pavlodar.
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 Kazakh with lifelong residence or deep immersion in Kazakhstan
- High accuracy reading and writing in Kazakh Cyrillic and awareness of the new Latin script
- Comfortable transcribing natural Kazakh-Russian code-switching
- Strong ear for regional Kazakh accents
- 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 Turkic linguistics, translation, journalism, or media
- Prior experience annotating Kazakh or other Turkic speech data
- Working knowledge of Russian, Uzbek, or Kyrgyz for cross-lingual audio
- 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