丹麦语录音专家
Danish Transcription Expert
薪资：每小时24-30美元（美元）。
职位名称：丹麦语转录专家
职位类型：合同工
工作地点：远程
micro1 正在招募丹麦语转录专家，参与一个以客户为中心的项目，专注于开发先进的 AI 技术。在此职位中，你将运用专业知识帮助训练下一代 AI 系统。你的工作将影响模型如何学习、推理和执行，通过高质量的真实输入。无需 AI 相关经验——你的专业领域知识才是关键。这个机会非常适合母语为丹麦语且具有强大转录背景的人士，他们希望为 AI 的未来做出贡献。
工作范围
1. 高度准确地转录丹麦语音频文件，注意语言细节。
2. 根据详细的项目指南和标准对语音数据进行注释和标记。
3. 仔细评估和验证转录质量，确保一致性和完整性。
4. 使用 AI 工作流工具处理、校正和增强音频数据集。
5. 参与随着项目需求变化而进行的注释模式的评审和优化。
6. 提供建设性反馈以改进转录流程并支持持续改进。
优先资格
1. 母语级别的丹麦语能力，具备出色的听力和语言技能。
2. 在专业或研究环境中转录和标注丹麦语音频的实践经验。
3. 对口语内容中的错误、不一致和细微差别有很强的注意力。
4. 熟悉音频数据采集协议和转录工具或平台。
5. 了解 AI 工作流或之前参与过机器学习项目的数据训练（加分项，非必需）。
6. 能够遵循复杂指令并遵守不断变化的指南和标准。
7. 优秀的组织和沟通能力，以支持协作式的远程工作。
查看英文原文
Role Title: Danish Transcription Expert
Role Type: Contractor
Location: Remote
micro1 is engaging Danish Transcription Experts to participate in a customer-driven project focused on developing advanced AI technologies. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for native Danish speakers with strong transcription backgrounds who are interested in contributing to the future of AI.
Scope of Work
- Transcribe Danish audio files with a high degree of accuracy and linguistic nuance.
- Annotate and label speech data according to detailed project guidelines and standards.
- Carefully evaluate and verify the quality of transcriptions to ensure consistency and completeness.
- Work with AI workflow tools to process, correct, and enhance audio data sets.
- Participate in the review and refinement of annotation schema as project needs evolve.
- Provide constructive feedback to improve transcription processes and support continuous improvement.
Preferred Qualifications
- Native-level proficiency in Danish, with exceptional listening and language skills.
- Demonstrated experience transcribing and annotating Danish audio in professional or research settings.
- Strong attention to detail in identifying errors, inconsistencies, and nuances in spoken content.
- Familiarity with audio data collection protocols and transcription tools or platforms.
- Knowledge of AI workflows or prior involvement in data training for machine learning projects (a plus, not required).
- Ability to follow complex instructions and adhere to evolving guidelines and standards.
- Excellent organizational and communication abilities to support collaborative remote work.
Originally posted on Himalayas