Audio Transcription Reviewer

Welocalize; Jakarta Pusat; Remote; IDR 93,765,000 - 133,545,000; Part time

Job summary

Welocalize, Inc. in Jakarta invites a freelance pilot to review pre-segmented audio, verify word-level segments, and adjust timestamps to support AI training data. The role offers USD 4.55/hour for about 30 hours per week, with flexible remote work from Indonesia.

You will listen to clips, validate segment boundaries, and flag issues per the guidelines. English fluency and data labeling experience are preferred, with comfort using annotation tools and following the style guide.

Qualifications

• English fluency with strong command of spoken/colloquial forms
• Experience with audio transcription, data annotation, or NLP data labeling
• Comfortable using annotation/labeling tools
• Ability to reference and apply a detailed style guide consistently
• Able to work independently and adapt to periodic guideline updates

Responsibilities

• Listen to short audio clips and review 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)
• Maintain consistency and accuracy across a detailed, evolving style guide

Skills

English fluency

Audio transcription experience

Annotation tools proficiency

Tools

Annotation tools

Job description

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

Engagement Type:Freelance(Pilot)

Rate:USD4.55/hour

EstimatedHours:30hours/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