09/08/2026
Vendor Hiring | 1,000-Hour Full-Duplex U.S. English Voice Collection & Annotation
SadiGroup invites qualified U.S. data-collection companies, studios and managed field teams. Vendor applications only.
Scope
β’ 1,000 accepted valid hours; at least 1,500 native U.S. English speakers (750 pairs)
β’ 1.5 valid hours per pair; maximum 2 raw hours
β’ Ages 18β60; 1:1 male/female ratio (Β±5%); one submission per person
β’ Collection, transcription, annotation and QA
Regional allocation
β’ New England - 100h: Boston; Portland/Providence
β’ Mid-Atlantic - 200h: New York; Philadelphia/Baltimore
β’ Inland North - 150h: Chicago; Cleveland/Detroit
β’ Midland - 150h: Kansas City; Columbus/Indianapolis
β’ South - 200h: Atlanta; Dallas/Nashville/Birmingham
β’ West - 200h: Los Angeles; San Francisco/Seattle/Phoenix
Recording
β’ Each pair records in separate quiet/soundproof rooms on synchronized channels with no crosstalk
β’ Focusrite 2i2 interface and sE2200 microphones required
β’ Microphone: WAV, 48kHz, 32-bit, mono
β’ When assigned, far-field phone at 1m, 3m or 5m: WAV, 24kHz, 16-bit, mono; Android/iOS mix TBC
β’ No echo; background noise β€50dB; no clipping, truncation, DC offset or electrical interference
β’ Separate 5β30-minute files per topic
Conversation
β’ Natural, fluent, unscripted dialogue using supplied topics; no reading or imitation
β’ Locally representative accents and clear speech
β’ Natural overlap/interruption/competitive turn-taking above 5%
β’ Both speakers must contribute meaningfully
β’ No violent, pornographic, politically sensitive or prohibited content
Operations and compliance
β’ Register gender, age, birthplace, upbringing location and device details
β’ Obtain recorded voice authorization and signed electronic consent
β’ Run identity and voiceprint de-duplication; duplicate pairs are rejected
β’ Maintain consistent participant/group IDs, naming and metadata
β’ Two mono tracks must align within 0.1s; a merged stereo file is also required per topic
β’ Segment by sentence (average 5β6s; generally β€8s), label speaker/gender, transcribe verbatim English and apply required noise, non-speech, overlap, laughter, outside-voice and personal-information tags
β’ QA: β₯98% word accuracy, β₯97% speaker-role accuracy and β₯90% tag accuracy
β’ Check waveforms/peaks, file size and MD5 uniqueness; deliver complete WAV, TXT and metadata V1.2 packages in the last week of each month, then a final consolidated delivery
Apply with:
1. Speaker capacity by region and weekly output
2. Studio locations and number of parallel rooms
3. Equipment/specification confirmation
4. Recruitment, recording, annotation and QA capability
5. Relevant project experience
6. Quote per accepted valid hour and/or participant
7. Mobilization timeline
Send via LinkedIn or [email protected]
Subject: US English 1,000H - Vendor Application - [Company]
SadiGroup
Building the Human Intelligence Behind AI