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Medical Transcriptionist, Home Based jobs in Pasig

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    • Review pre-segmented audio recordings, verify word-level segment accuracy, and correct timestamp or transcription errors to support training data for speech-to-…
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    • Salary Search: Audio Transcription Reviewer salaries
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    • In this role, you will listen to recorded audio conversations and review, correct, and validate AI-generated transcripts to ensure the highest levels of…
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    • A medical virtual assistant works closely with medical professionals or health insurance companies to ensure that the best interests of the healthcare provider,…
    • Manage referrals, faxes & medical records.
    • Answer calls and assist patients.
    • Verify insurance & update patient information.
    • EHR/EMR experience is a plus.
    • Familiar with medical terminologies and clinical workflows.
    • At least 1–2 years of experience as a medical scribe or in a clinical documentation role.
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Audio Transcription Reviewer
Manila
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Remote
PHP 4.55 an hour

Job details

PHP 4.55 an hour
Remote in Manila

Full job description

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 (India/Philippines)
  • 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
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