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Audio Annotator

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Audio Annotator

Remote

Published 1 hour ago

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 

Project Details: 

Job title: Andromeda Delta - Audio Transcription Reviewer English (US)

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
APPLY

Part Time

Entry Level

Remote

APPLY Report Job

English fluency including spoken/colloquial forms; prior audio transcription or data annotation experience preferred; comfortable with annotation tools; ability to apply style guide and work independently.

Key Responsibilities

  • reviewing audio recordings
  • verifying segment accuracy
  • correcting transcription errors

Job Details

  • Category: Data and Analytics
  • Seniority: Entry Level
  • Commitment: Part Time, Contract
  • Workplace: Remote — United States
  • Salary: USD 9,464 – 9,464 / year
  • Languages: English

About Welo Data

A data services company providing annotation and labeling for AI model training. — Industry: Information Technology

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