Audio Data QA – Transcription & Policy Review
Key Skills
Job Description
We're looking for detail-oriented reviewers to quality-check pre-recorded customer service conversations for an AI data project. You'll correct and validate transcripts, check that the agent in each conversation followed the required policy rules, and decide whether each item is ready for delivery or should be flagged for further review. This is part-time, remote work. Success looks like consistently accurate transcripts, reliable policy checks, and clear escalation of anything questionable. Open worldwide, except applicants located in Africa or in sanctioned countries (Cuba, Iran, North Korea, Syria). Responsibilities Review pre-recorded customer service conversations Correct and validate transcripts against the audio Check that agents followed the required policy rules Mark each item as ready for delivery or flag it for further review Write clear notes on anything questionable Requirements Fluent English (C1–C2): you can follow a normal conversation in audio and write clean, accurate corrections Experience in AI data training or AI data preparation workflows Hands-on experience with audio transcription, annotation, or transcript correction Able to apply policy rules consistently and document or flag issues clearly Quality assurance or quality control experience (preferred) Able to commit to and reliably meet an agreed part-time schedule Expertise Audio transcription Quality assurance English Benefits Fully remote, part-time Independent contractor Onboarding provided
Core Responsibilities
Review pre-recorded customer service conversations, correct and validate transcripts against the audio, and check whether agents followed required policy rules. Mark items as ready for delivery or flag them for further review, documenting questionable issues clearly.
Requirements
Applicants need fluent English at C1–C2 level, experience with AI data training or preparation workflows, and hands-on experience in audio transcription, annotation, or transcript correction. They must apply policy rules consistently, document or flag issues clearly, and reliably meet an agreed part-time schedule; quality assurance or quality control experience is preferred.
Benefits
- Remote Work
- Onboarding Provided
About Pasiflora AI
Industry: Technology, Information and Media
Company size: 2-10 employees
Building the Human Layer for AI. Pasiflora AI recruits, verifies and deploys domain experts for AI companies, whether the need is training data, agent evaluation or a full-time hire.