Upwork Work From Home | Audio Listning Work

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About Company

Upwork is a global work marketplace that connects businesses with skilled independent professionals from around the world. We help businesses of all sizes, from small startups to big companies like those on the Fortune 100 list, using a strong, trustworthy platform. This platform allows companies and freelancers to collaborate in new ways that help them reach their full potential. Upwork has a talent community with more than 10,000 different skills across areas like website and app development, creative and design, customer support, finance and accounting, consulting, and operations.

About the job

We are looking for detailed Audio Tagging Specialists who work with the Hindi language to help label transcribed audio clips. The job requires adding emotional tags like happy, frustrated, or neutral, as well as manner tags such as shouting, whispering, or calm, along with exact timestamps down to the millisecond.

You’ll use our internal tagging tool, so candidates should be comfortable learning new platforms quickly and following detailed annotation guidelines. Experience in linguistic labeling, audio transcription, or dataset creation is highly preferred.

Responsibilities:

• Review transcribed audio clips for accuracy and context
• Apply emotional and manner tags to each segment (e.g., tone, intensity, vocal expression)
• Insert precise timestamps for all relevant moments (down to the millisecond)
• Ensure consistent tagging following provided guidelines and examples
• Collaborate with project managers or QA reviewers to maintain high data quality

Qualifications:

• Prior experience with audio tagging, transcription, or annotation projects
• Strong attention to detail and consistency
• Comfort using web-based or proprietary tools for labeling data
• Excellent comprehension of English and language that you are applying for
• Ability to follow written instructions precisely
• Reliable internet connection and access to a computer with audio playback capability

Preferred Experience (Nice to Have):

• Background in linguistics or related field
• Familiarity with audio analysis tools or time-based tagging software

Conclusion

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