Remote AI Voice Data Contributor (Student)

Perle; United States; Remote; USD 2,200 - 4,500; Full time

Benefits offered by this job

Fully remote

Flexible hours

Project-based

Job summary

Perle AI builds the foundational training data powering the world's most advanced AI models. We partner with leading AI companies to source high-quality, human-generated datasets shaping how AI understands and generates human language.

We are seeking native Canadian English speakers in the United States to join our freelance audio contributor network. Remote, project-based work with flexible hours and pathways to hands-on experience inside a real AI data pipeline.

Qualifications

• Native Canadian 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).
• Prior experience in transcription, voice work, or data annotation is a plus but not required.

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

Canadian English

Quiet environment

Attention to detail

Independent work

Computer basics

Transcription

Job description

Perle AI builds the foundational training data powering the world's most advanced AI models. We partner with leading AI companies to source high-quality, human-generated datasets shaping how AI understands and generates human language.

We are seeking native Canadian English speakers in the United States to join our freelance audio contributor network. Remote, project-based work with flexible hours and pathways to hands-on experience inside a real AI data pipeline.