意大利有声书评审员 - 全程远程 | 每小时最高20美元
Italian Audiobook Reviewer - Fully Remote | Upto $20/hr
职位描述
Mercor将顶尖的创意和技术人才与领先的AI研究实验室相连接。公司总部位于旧金山，我们的投资方包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：有声书质量评估专家 — 意大利语
类型：合同工
薪酬：15–20美元/小时
地点：远程
投入时间：每周20小时
岗位职责
- 听取由AI朗读的意大利语有声书，并评估朗读的自然性、准确性和可听性。
- 识别并记录合成语音中的错误，如漏读、误读、错读的词语，数字错误以及不自然的表达。
- 使用我们的评审工具对问题进行分类，并标记问题出现的具体时间段。
- 报告听众满意度，并指出哪些部分朗读自然，哪些部分存在干扰。
- 在长时间的音频工作中保持细致和一致。
任职要求
必须具备
- 意大利语为母语或接近母语的流利水平（意大利）。
- 对有声书有真实兴趣，有定期收听习惯。
- 具备英语工作知识，以便清晰地进行报告和团队沟通。
- 有标注、标签、转录、校对或类似细节工作的经验。
- 能以兼职形式每周提供20小时的工作时间。
优先考虑
- 有AI训练数据、模型评估或音频/QA标注项目经验。
- 有语言、编辑、配音或音频制作背景。
申请流程（需20–30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
资源与支持
- 有关面试流程和平台信息的详细内容，请查看：
- 如有任何帮助或支持，请联系：
备注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以获得此机会的考虑。
最初发布于Himalayas
查看英文原文
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Audiobook QA Expert — Italian
Type:Contract
Compensation:$15–$20/hour
Location:Remote
Commitment:20 hours/week
Role Responsibilities
- Listen to AI-narrated audiobooks in Italian and evaluate the naturalness, accuracy, and enjoyment of the narration.
- Identify and log errors in synthesized speech, such as skipped, added, or mispronounced words, incorrect numbers, and unnatural phrasing.
- Categorize issues and mark the exact span where they occur using our review tools.
- Report on listener satisfaction and highlight where narration feels natural versus disruptive.
- Maintain attention to detail and consistency across extensive audio sessions.
Qualifications
Must-Have
- Native or near-native fluency in Italian (Italy).
- Genuine interest in audiobooks with regular listening habits.
- Working knowledge of English for clear reporting and team communication.
- Experience in annotation, labeling, transcription, proofreading, or similar detail-oriented work.
- Availability for 20 hours/week on a part-time basis.
Preferred
- Experience with AI training-data, model evaluation, or audio/QA annotation projects.
- Background in language, editing, voice, or audio production.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas