About the role
About the Role: Review pre-segmented audio recordings, verify word-level segment accuracy, and correct timestamp or transcription errors to support training data for speech-to-speech AI models
Location: India/ Philippines (Remote)
Engagement Type: Freelance (Pilot)
Rate: USD 4.55/hour
Estimated Hours: 30 hours/week
Key Responsibilities
* Listen to short audio clips and review automatically generated word-level segments (start timestamp, end timestamp, transcription) * Verify segment boundaries align with actual speech onset and offset * Review start/end timestamps when boundaries are inaccurate * Identify and flag tasks for discard per defined criteria (unintelligible audio, non-target language, sensitive content, no voice activity, etc.) * Maintain consistency and accuracy across a detailed, evolving style guide
Requirements
English fluency, including strong command of spoken/colloquial forms (contractions, filler words, informal speech) Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred Comfortable using annotation/labeling tools Ability to reference and apply a detailed style guide consistently Ability to work independently and adapt to periodic guideline updates