We are collecting and transcribingunscripted telephonic conversationsacross several regions to improve call-centre and customer service AI domains.
This involves capturing natural speech, segmenting audio into manageable chunks, and providing high-accuracy verbatim transcriptions.
Open Opportunities by Region
We are currently seeking skilled speakers and transcriptionists in the following locations:
Turkey(Turkish) - 330 Audio Hours
Portugal(Portuguese-EU) - 320 Audio Hours
Greece(Greek) - 320 Audio Hours
Key Responsibilities
Data Collection:Capture natural, unscripted conversations with a diverse range of speakers (Ages *****).
Segmentation:Timestamp audio files into segments (max 15 seconds) following natural sentence boundaries.
Verbatim Transcription:Transcribe speech exactly as spoken, including fillers and disfluencies, maintaining a Word Error Rate (WER) of less than 5%
Metadata Management:Ensure all data is delivered in a structured JSON format with mandatory fields like speaker ID and role.
What We're Looking For
Accuracy First:We strive for 95% Word Accuracy and 90% Tag Accuracy.
Diversity:We aim for a ***** gender balance across all recordings to ensure our models are inclusive.
Technical Savvy:Comfort working with WAV formats and following specific transcription conventions (e.g., using tags like (laugh), (music), or #uh for fillers).
Reliability:The ability to complete reworks within a 48-hour window when quality adjustments are needed.
Why Join This Project?
This is a chance to work on a sophisticated AI development pilot.
You'll be part of a workflow that values authentic human speech and high-level linguistic precision.
Payment is processed based on approved audio hours, ensuring a fair and transparent system for all contributors.
Apply-