Expert Audio Transcriber, Hungarian
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 我们正在聘请匈牙利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环境中的自然对话性语言。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 标准匈牙利 (magyar) 和其口述区域品种。项目音频反映了日常匈牙利语语说法，意识到它的聚合形态和复杂案例体系。主要讲者地区：布达佩斯，德布雷森，塞格德，米斯科尔克，皮克斯，吉奥。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，常用语言和代码交换语法决定 ·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 的质量条款相比 ·与 QA 评审员有关边缘情况，校准会议和风格指南更新必须有•在匈牙利或匈牙利语地区生活或深入沉浸的汉语流利能力 ·标准匈牙利拼写掌握 ·强地听取区域匈牙利口音 ·对文法学进行精确转录的要求感到舒适 ·至少两年专业转载，字幕编写，法院报告，广播，翻译或语言注释经验 ·
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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 Hungarian 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
Standard Hungarian (magyar) and its spoken regional varieties. Project audio reflects everyday Hungarian speech with awareness of its agglutinative morphology and complex case system.
Primary speaker regions: Budapest, Debrecen, Szeged, Miskolc, Pecs, Gyor.
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 Hungarian with lifelong residence or deep immersion in Hungary or a Hungarian-speaking region
- Mastery of standard Hungarian orthography
- Strong ear for regional Hungarian accents
- Comfort with the demands of transcribing Hungarian morphology accurately
- 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 Finno-Ugric linguistics, translation, journalism, or media
- Prior experience annotating Hungarian speech data
- Working knowledge of Finnish, Estonian, or regional Slavic languages
- 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