Japanese Audio Transcription Reviewer

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help freelancers discover projects, consolidate proof of work, and grow a lasting portfolio of AI training experience.

OpenTrain AI is the hiring organization for this role. We offer remote, contract opportunities that let you develop specialized skills in a fast-growing field.

About AI training and this work

AI training (also called data labeling or annotation) is the human work that teaches machine learning models how to understand language and audio. Contributors transcribe, evaluate, and correct model outputs so speech systems improve on real-world conversations.

This role focuses on evaluating automatic speech recognition (ASR) outputs and diarization in Japanese conversational audio—work that directly shapes how voice-enabled AI understands spontaneous speech.

The role

You will review AI-generated Japanese transcriptions and multi-channel diarization for conversational audio. Your job is to confirm transcript fidelity, preserve spontaneous unnormalized speech, verify timestamps at turn and word levels, and validate speaker identification and metadata alignment.

This is contract, part-time work with an expected minimum of 20+ hours per week. The role is entry level but requires proven listening and transcription-evaluation skills.

• Data type: audio (conversational, multi-channel)
• Label types: transcription and evaluation/rating
• Employment: contractor, part-time
• Work scope: review transcripts, diarization, timestamps, and JSON metadata

What you'll do day to day

Perform careful, line-by-line reviews of AI transcripts and diarization outputs and mark errors against accuracy targets and low word-error-rate expectations.

Validate JSON-formatted metadata, check timestamp logic and segmentation alignment across channels, and confirm correct speaker attribution including overlapping speech.

• Review ASR outputs for verbatim accuracy and flag omissions, substitutions, and misalignments
• Evaluate diarization: speaker turns, attribution, overlapping dialogue handling
• Verify turn-level and word-level timestamps and segmentation integrity
• Preserve natural speech features—false starts, disfluencies, interruptions, and overlaps

Requirements

Do not apply unless you meet the essential qualifications below. These are required to perform the work to the quality standards expected for ASR and diarization evaluation.

• Fluent or native Japanese proficiency (reading and listening)
• Experience evaluating ASR outputs, transcription quality, or speech-data QA
• Strong ear for audio fidelity issues such as background noise, channel bleed, and clipping
• Careful attention to word-level timestamps and verbatim transcription rules
• Ability to judge speaker identification and fidelity in spontaneous conversation

Helpful background and skills

The following skills are not strictly required but will help you succeed and qualify for more advanced tasks and ongoing opportunities.

• Understanding of natural, unnormalized speech patterns and conversational dynamics
• Experience with diarization inconsistencies and overlapping speech annotation
• Familiarity reviewing structured transcript outputs (JSON) and timestamp validation
• Comfort preserving speech content without normalizing grammar or punctuation