Please apply directly to this website >>> https://jobs.fillarole.ca/job-board/jobs/851/multi-lingual-conversation-audio-collection-project/toronto-on?utm_source=Workable&utm_medium=Referral&utm_campaign=Multi-lingual%20Conversation%20Audio%20Collection%20Project
We are seeking native‑speaking individuals to participate in a conversational data collection project. The task involves recording real‑world, two‑party conversations to support AI model training. Contributors will work in pairs and generate conversations that sound natural, following strict guidelines for audio quality, content, and file format.
This is a remote project. Conversations must be recorded in the same room, using a single microphone. Each pair will cover general and medical‑related topics (medical background is preferred but not required). Participants will follow a specific script which may include medical terms. The role of one speaker must remain consistent across all recordings for each topic.
Estimated time to complete the task: each speaker up to 2 hours of recorded speech; each pair up to 4 hours combined. Minimum 1 hour of recorded speech is required to qualify for payment (after QA check). Each participant may only complete the project once.
Must record in pairs, in the same room, using a single device. Must follow audio specifications: WAV, 16kHz, mono. Adherence to guidelines to ensure recordings are natural.
Native speaker of French language, 18 years or older.
Device with voice recording capability.
Stable Internet connection for uploading files.
Medical background is preferred but not required.
Participant must register in our TELUS Digital AI Community Platform with the same link provided above.
Each participant may only complete the project once.
Please apply directly to this website https://jobs.fillarole.ca/job-board/jobs/851/multi-lingual-conversation-audio-collection-project/toronto-on?utm_source=Workable&utm_medium=Referral&utm_campaign=Multi-lingual%20Conversation%20Audio%20Collection%20Project
Multi-lingual Conversation Audio Collection Project • Toronto, ON, CA
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