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We need native Sesotho speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Sesotho audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Sesotho - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.
We need native Sesotho speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Sesotho audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Sesotho - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.
We need native Quechua speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Quechua audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Quechua - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.
We need native Kurdish speakers to transcribe conversational audio recordings for an AI training dataset. Transcripts must be fully human-generated or human QA-ed — no machine-only transcripts accepted. **What you'll do:** - Transcribe conversational Kurdish audio files (2 minutes to 1 hour per file) - Deliver transcripts in JSON format with: - Time-coding (no overlaps across speakers) - Speaker diarization (each speaker individually labeled) - Sequential ordering - Minimum 95% precision - Confirm each transcript is fully human-generated or human QA-ed **Requirements:** - Native or near-native speaker of Kurdish - Comfortable working with JSON output (template will be provided) - Access to a laptop or desktop computer - Ability to deliver on a rolling schedule aligned with 20-day tranches **What you'll be paid:** - $10 per audio hour transcribed (paid per accepted transcript submission) - One submission = one audio hour transcribed **Timeline:** Rolling submissions Jul 20 – Sep 14, 2026. **What to submit per audio hour transcribed:** - Link to JSON transcript file (Google Drive, Dropbox, or WeTransfer) - Attestation that the transcript is fully human-generated or human QA-ed - Reference to the original audio file ID Rejected transcripts (below 95% precision, machine-only output, missing diarization or time-coding) are not paid.