PWe are collecting and transcribing bunscripted telephonic conversations /b across 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.
/ppbr/ppbOpen Opportunities by Region /b /ppWe are currently seeking skilled speakers and transcriptionists in the following locations: /pullibTurkey /b (Turkish) - 330 Audio Hours /lilibPortugal /b (Portuguese-EU) - 320 Audio Hours /lilibGreece /b (Greek) - 320 Audio Hours /li /ulpbr/ppbKey Responsibilities /b /pullibData Collection: /b Capture natural, unscripted conversations with a diverse range of speakers (Ages *****).
/lilibSegmentation: /b Timestamp audio files into segments (max 15 seconds) following natural sentence boundaries.
/lilibVerbatim Transcription: /b Transcribe speech exactly as spoken, including fillers and disfluencies, maintaining a Word Error Rate (WER) of less than 5% /lilibMetadata Management: /b Ensure all data is delivered in a structured JSON format with mandatory fields like speaker ID and role.
/li /ulpbr/ppbWhat We're Looking For /b /pullibAccuracy First: /b We strive for 95% Word Accuracy and 90% Tag Accuracy.
/lilibDiversity: /b We aim for a ***** gender balance across all recordings to ensure our models are inclusive.
/lilibTechnical Savvy: /b Comfort working with WAV formats and following specific transcription conventions (e.g., using tags like (laugh), (music), or #uh for fillers).
/lilibReliability: /b The ability to complete reworks within a 48-hour window when quality adjustments are needed.
/li /ulpbr/ppbWhy Join This Project?
/b /ppThis 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.
/ppbr/ppbApply /b - /p