Job Description

Transform Human Voice into Intelligent Data – 100% Remote

Are you a linguistic expert who can hear the "subtext" between the lines? Welo Data is looking for detail-oriented Chinese (Cantonese)  speakers to join a high-impact transcription project. This isn't just about speed-typing; it’s about capturing the nuance, emotion, and cultural context that makes AI truly "human."

The Mission: Your goal is to act as the human bridge between spoken Chinese (Cantonese) and digital intelligence, ensuring every word is transcribed with precision and every emotion is tagged with accuracy.

 Why This Project Stands Out

• More Than Transcription: You aren't just a typist; you are a Metadata Specialist, adding emotional tags and contextual cues that power the next generation of AI.
• Total Flexibility: Work where you want, when you want. We only require a 10–15 hour weekly commitment.
• Competitive Pay: We value your linguistic expertise and cultural depth.
• Impactful Work: Your transcriptions will directly influence how AI models understand and respond to the Chinese (Cantonese) -speaking world.

Project Details:

• Rate: $30/hour
• Schedule: Flexible, 10-20 hours per week
• Location:  Remote, United States

What You Will Do

• Precision Transcription: Listen to audio and provide high-fidelity text in Chinese (Cantonese) .
• Timestamping & Alignment: Ensure every word perfectly matches its audio "moment."
• Emotional & Contextual Tagging: Identify and label emotions, sarcasm, and cultural cues within the audio recordings.
• Quality Assurance: Ensure the final output is culturally relevant and reflects the intended tone and meaning

Requirements

• Linguistic Mastery: Native or Professional (C1/C2) level in Chinese (Cantonese)  with strong English skills.
• Nuance Detection: Ability to differentiate between dialects, emotional tones, and subtle contextual cues.
• Tech-Savvy: Familiarity with transcription tools, timestamping, and metadata tagging.
• Detail-Obsessed: A commitment to delivering error-free, high-quality data under project deadlines.

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