Audio Tagging Specialist - Farsi Language (Emotion & Manner Annotation)

Summary

We’re seeking detail-oriented Audio Tagging Specialists for Farsi Language to assist with annotating transcribed audio clips. This role involves labeling audio content with emotional tags (e.g., happy, frustrated, neutral), manner tags (e.g., shouting, whispering, calm), and precise 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