声音审计专员 - 印地语
Sonic Audit Specialist - Hindi
**薪资:** 每小时18美元（美元）。
## 岗位职责
我们正在招聘母语或接近母语的印地语使用者，对AI训练数据进行**本语言的审计**，而非生成数据。
你将参与两个Amazon Sonic审计集合的工作：
1. **多语言转录审计。** 你将听取人类或代理人的语音录音，阅读标注员生成的转录文本，并判断该文本是否准确捕捉了说话者实际所说的内容。你需要应用一组固定的错误代码，给出通过或失败的结论，并撰写简短的理由说明决策原因。
2. **强制对齐审计。** 你将审查由自动化系统在单词级别分割的音频。对于每个片段，你需要验证开始和结束时间戳是否与单词实际开始和结束的位置匹配，并且参考转录文本是否与口语形式一致。当机器出错时，你需要修正边界、拆分片段、合并两个片段、添加缺失的片段，或删除包含无词内容的片段。
这两个集合每项任务需要5.00小时的审计时间。每个判断都需要书面理由，因此这是一项需要细致聆听的工作，而不是单纯追求数量的工作。
## 我们寻找的人选
**对印度境内使用的印地语有母语或接近母语的掌握能力。** 你要么出生并成长于该语言及变体占主导地位的地区，要么在该地区居住五年以上并具备完全流利的水平。这是硬性要求。
**较强的英语阅读和写作能力。** 所有规范、错误代码和审计理由都使用英语编写，因此你需要阅读详细的规则手册，并用英语写出清晰的反馈。
**严格遵循标准。** 这项工作奖励那些能在数百次判断中一致应用书面标准的人，而不是依赖直觉的人。之前有转录、字幕、本地化、语言标注或质量保证经验是强有力的信号。
**细致的听力能力。** 你能区分相似的声音，识别连续语音中一个词结束另一个词开始的位置，并能区分真实的声学歧义与明确的标注错误。
有帮助但非必需：之前有AI数据标注或模型评估经验，语音学或语言学背景，以及音频编辑或波形工具的使用经验。
## 工作内容
你将聆听、判断并提交。当你发现错误时，需标记所有适用的错误代码，而不仅仅是第一个，同时用通俗语言解释任务通过或失败的原因。关键错误
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**Pay:** $18 per hour (USD).
## The role
We are hiring native and near-native Hindi speakers to **audit AI training data in their own language**, not to produce it.
You will work across two Amazon Sonic audit collections:
1. **Multilingual Transcription Audit.** You listen to a recording of human or agent speech, read the transcription an annotator produced, and judge whether it accurately captures what the speaker actually said. You apply a fixed set of error codes, assign a pass or fail verdict, and write a short rationale explaining the decision.
2. **Forced Alignment Audit.** You review audio that has already been segmented at the word level by an automated system. For each segment you verify that the start and end timestamps match where the word actually begins and ends, and that the reference transcription matches the spoken form. Where the machine got it wrong, you correct the boundary, split a segment, merge two, add a missing one, or remove one that contains no word.
Both collections run at 5.00 audit hours per task. Every judgment carries a written reason, so this is careful listening work rather than volume work.
## Who we are looking for
**Native or near-native command of Hindi as spoken in India.** You were either born and raised in a region where this language and variety is dominant, or you are fully fluent with five or more years of residence in such a region. This is a hard requirement.
**Strong English reading and writing.** All conventions, error codes, and audit rationale are written in English, so you need to read a detailed rulebook and write clear feedback in it.
**Disciplined rubric application.** The work rewards people who apply a written standard consistently across hundreds of judgments rather than relying on instinct. Prior transcription, subtitling, localization, linguistic annotation, or QA experience is a strong signal.
**Careful listening.** You can distinguish similar sounds, identify where one word ends and the next begins in continuous speech, and tell genuine acoustic ambiguity apart from a clear annotator error.
Helpful but not required: prior AI data annotation or model evaluation work, a phonetics or linguistics background, and experience with audio editing or waveform tools.
## What the work looks like
You listen, judge, and submit. Where you find an error you tag every applicable error code, not just the first one, and you explain in plain language why the task passed or failed. Critical errors are called out first so the reason for a failure is obvious to the reader.
You will complete a short calibration phase before production work begins.