Andromeda Delta - Audio Transcription Reviewer (India/Philippines)
WelocalizeLanguagesFirst seen 9 Oct 2026
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- Where
- Philippines, India
- Language
- English
- Type
- Contract, remote
- Field
- Languages
Posted on Welocalize First seen 9 Oct 2026Checked 12 Oct 2026
From the Welocalize listing
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
- #L1-CC1
Text above is the platform's own listing, shown as published. Check the details on Welocalize before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Transcription: Writing down exactly what is said in an audio or video recording, following the project's rules for spelling, fillers, noise and speaker changes.
- Reviewer: A more experienced worker who checks other people's tasks, gives feedback and scores quality.
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
- Labeling: Assigning a category or tag to an item, for example marking a review as positive or negative. Often used as a synonym for annotation.
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