This pilot project focuses on voice data collection through short scripted calls to a toll-free hotline as part of AI evaluation tasks. Each participant will complete up to 10 calls using either a mobile or landline phone.
We are looking for native language speakers of Arabic (Saudi Arabia), Basque (Spain), French (Canada), Galician (Spain), Hebrew, Hindi (India), Korean (Korea), Mandarin Chinese (Malaysia, Thailand, Taiwan), Portuguese (Portugal), Russian (Russia), Swedish (Sweden), and Turkish (Turkey).
Participants must currently reside in their native country or in the United States, Canada, UK, or EU (for Mandarin, Malaysia/Thailand/Taiwan are also acceptable).
We are seeking freelancers for AI Evaluation tasks that involve voice data collection. 🔹 Requirements: Must be a native speaker of the target language, specifically a native Gujarati speaker. Willingness to provide ID proof if requested is essential. Familiarity with AI tools, evaluation, or annotation tasks is preferred. Candidates should be detail-oriented and able to follow guidelines strictly. 🔒 Note: Tool access, guidelines, and project details will be shared once shortlisted. Prior transcription experience is a plus.
We are seeking native language speakers for an upcoming transcription project, which may also involve AI evaluation tasks and voice data collection. 🔹 Requirements: Must be a native speaker of any African language, willing to provide ID proof if requested, and familiarity with transcription tasks is preferred. 🔒 Note: Tool and project details will be shared once shortlisted.
We are seeking native Gujarati freelancers for AI evaluation tasks, specifically for a proofreading assignment.
🔹 Requirements:
Must be a native Gujarati speaker
Should be able to follow the guidelines and rules provided
Prior experience in proofreading is an advantage, especially for those involved in voice data collection.
We are hiring native speakers of Indian languages for AI evaluation tasks involving voice data collection through prompt reading.
🔹 Requirements:
Must be a native speaker of the selected Indian language.
Recordings must be done in a quiet environment (no background noise).
Must speak fluently and clearly.
Each prompt should be read naturally and accurately.
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