Remote Sound Designer for AI Training Data

AI Trainer Jobs; United States; Remote; USD 69,000 - 124,000; Full time

Job summary

micro1 is a leading AI data lab that recruits Sound Designers to contribute expert audio for training frontier models. You will work on an exciting AI training and data annotation project, applying domain knowledge to help train next-generation AI systems.

Contributions focus on high-quality, real-world audio data across video sessions. Remote engagement allows flexible collaboration while delivering precise, annotated sound inputs for AI learning.

Qualifications

• Demonstrated expertise in sound design, sound editing, and audio restoration techniques.
• Strong attention to detail and the ability to identify subtle audio nuances.
• Familiarity with various digital audio workstations and editing tools.

Responsibilities

• Review and assess video sessions featuring robotic arms completing real-world tasks, focusing on the audio component.
• Edit and annotate audio tracks to ensure clarity, accuracy, and consistency for AI training purposes.
• Restore audio quality by removing unwanted noise, distortion, and inconsistencies.
• Provide detailed feedback and annotations regarding specific sounds, events, or anomalies within each video session.
• Collaborate with project leads and fellow contributors to confirm annotation standards and resolve ambiguities.
• Maintain meticulous records of all edits, annotations, and restoration activities for traceability.
• Contribute to ongoing improvements in annotation protocols and project workflows as needed.

Skills

Sound Editing

Attention to Detail

Audio Restoration

Job description

micro1 is a leading AI data lab that recruits Sound Designers to contribute expert audio for training frontier models. You will work on an exciting AI training and data annotation project, applying domain knowledge to help train next-generation AI systems.

Contributions focus on high-quality, real-world audio data across video sessions. Remote engagement allows flexible collaboration while delivering precise, annotated sound inputs for AI learning.