AI Audio Data Trainer (US/UK/AU)

Neutals Labs; Australia; Remote; AUD 28.000 - 55.000; Vollzeit

Benefits dieser Stelle

Remote work across US, UK, AU

Zusammenfassung

Neutals Labs seeks an AI Audio Data Trainer for our Data Operations team. You will collect high-quality speech data and perform precise audio annotations to train LLMs and speech-recognition systems, focusing on US/UK/Australian accents in a remote setup.

Responsibilities include recording, annotating, and QA of audio data, maintaining a steady workflow, and ensuring data meets project standards. A quiet environment and reliable internet are essential.

Qualifikationen

• Native or fluent English with US/UK/Australian accent.
• Experience in audio data annotation or transcription.
• Access to a high-quality USB microphone and quiet recording environment.
• Stable high-speed internet for uploading large audio files.
• Ability to work independently and meet deadlines.

Aufgaben

• Record and upload high-fidelity audio samples following guidelines.
• Perform transcription, diarization, and sentiment tagging.
• Conduct QA on previously recorded data to ensure accuracy.
• Maintain a consistent recording schedule to meet quotas.
• Provide feedback on prompts or technical issues encountered.

Kenntnisse

English accent (US/UK/Australia)

Audio data annotation

Transcription

Speaker diarization

Tools

Audacity

Adobe Audition

Pro Tools

Jobbeschreibung

Data Operations Active Opening Posted 10/20/2026

Remote - US, UK, Australia

$10 - $20 / 30 min

About the Position

We are seeking a AI Audio Data Trainer to join our Data Operations team, specifically targeting candidates based in the United States, United Kingdom, and Australia. In this role, you will be responsible for collecting high-quality speech data and performing precise audio annotations to train next-generation Large Language Models (LLMs) and speech recognition systems. Your work is critical in ensuring that our AI models can accurately understand diverse accents, dialects, and speaking styles native to these regions. This is a remote position that requires a quiet, controlled environment to capture pristine audio samples without background noise interference.

Key Responsibilities

• Record and upload high-fidelity audio samples following specific prompt guidelines and dialect requirements.
• Perform detailed audio annotation tasks, including transcription, speaker diarization, and sentiment tagging.
• Conduct quality assurance reviews on previously recorded data to ensure accuracy and compliance with project standards.
• Maintain a consistent recording schedule to meet daily or weekly data collection quotas.
• Provide feedback on unclear prompts or technical issues encountered during the data collection process.

Required Skills & Qualifications

Audio Annotation Speech Data Collection Quality Assurance Transcription Data Labeling Acoustic Environment Control

• Must be a native or fluent speaker of English with a US, UK, or Australian accent.
• Proven experience in audio data annotation, transcription, or similar data labeling tasks.
• Access to a high-quality USB condenser microphone and a quiet, echo-free recording environment.
• Stable high-speed internet connection capable of uploading large audio files reliably.
• Ability to work independently and meet strict deadlines with high attention to detail.

Preferred Qualifications

• Previous experience working with AI data platforms such as Scale AI, Appen, or Telus International.
• Background in linguistics, phonetics, or audio engineering.
• Familiarity with audio editing software such as Audacity, Adobe Audition, or Pro Tools.
• Experience with multi-speaker audio scenarios and complex acoustic environments.
• Flexible schedule allowing you to work at your own pace within agreed-upon time blocks.
• Global payout options via PayPal, Wise, or direct bank transfer.
• Opportunity to contribute to cutting-edge AI research and development projects.
• Access to professional development resources and advanced annotation training.
• Performance-based bonuses for high-quality data submission and consistency.