Remote AI Voice Data Contributor (Student)

Perle

United States

Remote

USD 17,000 - 28,000

Full time

14 days+

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Benefits offered by this job

Fully remote
Flexible hours
Hands-on AI data pipeline experience
Work from anywhere

Job summary

Perle is seeking native US English-speaking university students to join our AI audio training pipeline as Freelance Audio Contributors. This remote, project-based role lets you record two-speaker conversations from provided scripts to train AI speech models.

You will ensure high-quality audio (16kHz+), stay within 10s–1min files, and deliver batches on schedule. Compensation is $20 per 60 minutes of recorded audio, with fully remote, flexible hours to fit class schedules.

Qualifications

  • Native US English speaker with a standard American accent.
  • Access to a quiet recording environment and a reliable headset/microphone.
  • Strong attention to detail and ability to follow written guidelines.
  • Ability to work independently and meet batch delivery deadlines.
  • Basic computer literacy (file management, audio uploads, spreadsheet tools).

Responsibilities

  • Record natural two-speaker conversations from provided scripts and prompts designed to train AI speech models
  • Keep dialogue sounding natural and spontaneous to help AI learn authentic human conversation patterns
  • Ensure recordings meet technical specs: minimum 16kHz sample rate, clear audio, minimal background noise
  • Each file must be between 10 seconds and 1 minute in length

Skills

Native US English
Attention to detail
Independent work
Basic computer literacy
Transcription/voice work (nice to have

Tools

Spreadsheet tools

Job description

Perle is seeking native US English-speaking university students to join our AI audio training pipeline as Freelance Audio Contributors. This remote, project-based role lets you record two-speaker conversations from provided scripts to train AI speech models.

You will ensure high-quality audio (16kHz+), stay within 10s–1min files, and deliver batches on schedule. Compensation is $20 per 60 minutes of recorded audio, with fully remote, flexible hours to fit class schedules.

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