Job Description

We are looking for motivated contributors to join the  Cosmos Project  as Voice Assistant Interaction Segmentation and Labeling & Transcription Specialists.

Contributors will listen to long-form audio recordings between users and voice assistants and segment them into distinct, meaningful user interactions. This ensures that each voice assistant-user exchange is accurately identified and contextually complete — helping enhance conversational AI systems and voice recognition models. 

Contributors will also label speaker turns and accurately transcribe user speech, following detailed annotation guidelines and localized trigger phrases specific to the target language.  Their work will ensure that each user–Voice Assistant exchange is accurately identified, contextually complete, and linguistically precise, helping improve conversational AI and voice recognition models. 

Purpose:

This project will help improve the natural flow, understanding, and linguistic accuracy of voice-based AI systems through precise interaction segmentation and high-quality transcriptions. 

Main Requirements:

• Proficiency in the target language: Must be fluent in one of the target languages. 
• Listening Skills: Strong comprehension and attention to audio cues such as pauses, tone shifts, and speaker changes. 
• Analytical Thinking: Ability to interpret conversational flow and identify intent boundaries within audio. 
• Work Environment: Remote – work from the comfort of your home. 
• Tools & Access: Must be able to use Centific’s online task platforms and follow provided workflow guidelines. 
• Availability: Must be able to commit 4–5 hours per day minimum (full-time preferred), and to adhere to Centific’s working time and productivity expectations. 
• Communication : Must have strong communication skills and willingness to collaborate with project leads and QA reviewers, as well as to participate in   training or calibration sessions when required. 

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