Audio Transcription Reviewer (Fully Remote)

Welo Data; United States; Remote; USD 5,500 - 8,300; Part time

Job summary

Welo Data is seeking a freelance pilot to review pre-segmented audio and verify word-level segments. You will assess timestamps and transcription accuracy to support training data for speech-to-speech AI models, ensuring boundaries reflect actual speech.

The role requires English fluency, experience in audio transcription/data labeling, and strict adherence to a detailed style guide. Engagement is freelance (pilot) with pay at USD 4.55/hour for an estimated 30 hours per week.

Qualifications

• English fluency including strong command of spoken/colloquial forms.
• Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred.
• Ability to reference and apply a detailed style guide consistently.

Responsibilities

• Listen to short audio clips and review automatically generated word-level segments.
• Verify segment boundaries align with actual speech onset and offset.
• Identify and flag tasks for discard per defined criteria.

Skills

English fluency

Audio transcription

Style guide adherence

Job description

• Review pre-segmented audio recordings and verify word-level segment accuracy.
• Correct timestamp or transcription errors to support training data for speech-to-speech AI models.

Key Responsibilities:

• Listen to short audio clips and review automatically generated word-level segments.
• Verify segment boundaries align with actual speech onset and offset.
• Identify and flag tasks for discard per defined criteria.

Requirements:

• English fluency, including strong command of spoken/colloquial forms.
• Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred.
• Ability to reference and apply a detailed style guide consistently.
• Engagement Type: Freelance (Pilot).
• Rate: USD 4.55/hour, estimated 30 hours per week.

Welo Data provides AI services, including data annotation and labeling for machine learning models. As part of the AI Services team, they focus on supporting speech-to-speech AI model training with accurate transcription and audio review.