Audio Transcription Reviewer

Welo Data; India; Remote; INR 666,000 - 695,000; Part time

Job summary

Welo Data is seeking an Andromeda Delta - Audio Transcription Reviewer to verify and correct word-level segments in pre-segmented audio data, ensuring accuracy for training AI models.

The role is freelance (pilot) with remote work across India and the Philippines, offering about 30 hours per week at USD 4.55/hour. Independent work with clear style guidelines is essential.

Qualifications

• English fluency with strong spoken language skills.
• Experience with audio transcription or data labeling preferred.
• Comfortable using annotation/labeling tools.
• Ability to follow 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

Audio transcription experience

Data labeling

Independent work

Style guide adherence

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