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Multilingual Customer Service Audio Recordings

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placeIN home_workRemote assignmentBefristet publicAggregierter Job · IN

eventVeröffentlicht am 07. Okt. 2026 · verifiedWir haben am 08. Okt. 2026 bestätigt, dass er noch aktiv ist

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₹ 150.000 – ₹ 250.000 pro Projekt

Über den Job

# Freelancing Requirement: Multilingual Call Center Audio Dataset We are looking for freelancers, data providers, and agencies who can provide **authentic call-center / customer-service audio recordings** for AI training, speech recognition, conversational AI, and research purposes. ### Audio Requirements We are looking for **real human-to-human call-center conversations**, including: * Customer–agent conversations * Inbound and outbound calls * Customer support interactions * Sales and service calls * Helpdesk / support conversations * IVR-related conversational data, where available * Two-way natural conversations ### Languages We require recordings in both **Indian and International languages**. **Indian Languages:** Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Assamese and other regional Indian languages. **International Languages:** Arabic, Nepali, Spanish, French, German, Portuguese, Italian and other international languages. We are open to datasets covering **one or multiple languages**. ### Audio Channels Both formats are required: * **Mono / Single-channel audio** * **Stereo / Dual-channel audio** * Separate speaker channels, where available, are highly preferred. ### Dataset Requirements * Authentic, human-recorded conversations * Natural two-way communication * Clear and usable speech * Multiple speakers preferred * Different accents, demographics, and speaking styles are valuable * Long-form as well as short-form calls are acceptable * Existing large-scale datasets are preferred ### Metadata / Transcripts Where available, please also share: * Transcripts * Speaker information / diarization * Timestamps * Language and dialect * Call duration * Channel information * Call type/category * Other relevant metadata These are **preferred but not mandatory** if the underlying audio dataset is strong. ### Privacy & Compliance All recordings must be legally sourced and available for commercial licensing. Any personally identifiable or confidential information should be appropriately **masked, removed, or de-identified** before delivery. The provider must have the necessary rights and permissions to license the recordings for **commercial AI/ML training, evaluation, research, and related model development purposes**. ### Please Include in Your Proposal 1. Languages available 2. Total recording hours 3. Number of calls/files 4. Mono vs. stereo availability 5. Separate speaker-channel availability 6. Average call duration 7. Transcript/metadata availability 8. Data source and collection methodology 9. Privacy/de-identification process 10. Licensing and commercial usage rights 11. Sample audio for evaluation 12. Pricing and delivery timeline **We are interested in both individual language datasets and large multilingual collections. High-volume datasets are especially welcome.**

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