Audio Transcription Reviewer

Welocalize, Inc.; Delhi; Remote; INR 524,000 - 786,000; Part time

Job summary

Welocalize, Inc. is seeking a remote Audio Transcription Reviewer for India/Philippines on a freelance pilot basis. You will review pre-segmented audio recordings, verify word-level segments (start/end timestamps and transcription), and correct errors to support training data for AI models.

Strong English fluency and data-labeling experience are required, with about 30 hours per week at USD 4.55/hour. Comfort with annotation tools and the ability to follow a detailed style guide will be

Qualifications

• English fluency including contractions and informal speech
• Prior experience with audio transcription, data annotation, or NLP labeling preferred
• Comfortable using annotation/labeling tools
• Ability to reference and apply a detailed style guide consistently
• Ability to work independently and adapt to guideline updates

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

Skills

English fluency

Transcription/data labeling experience

Annotation familiarity

Style-guide application

Independent work

Tools

Annotation tools

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