AI Sound Engineering Trainer

Role overview Contribute sound engineering expertise to AI training projects by preparing labeled sound data and assessing model-generated audio. The work combines accurate annotation, quality checks, and collaboration to help improve model performance across different fields.

Responsibilities - Annotate and label sound data accurately for AI model training. - Review generated sound content for precision and quality. - Use sound engineering knowledge to support model improvement. - Collaborate on training projects spanning multiple fields. - Help ensure machine learning projects have high-quality data.

Requirements - A bachelor’s degree in sound engineering, audio production, or a related field. - Strong attention to detail when annotating data. - Familiarity with machine learning concepts and data labeling tools. - Clear communication skills for working with cross-functional teams.

Nice to have - Experience with AI training projects. - Knowledge of audio analysis software and tools. - Previous quality assurance or data validation experience.

Benefits and work setup The source describes flexible working hours, competitive compensation, and opportunities for professional growth. It also highlights collaboration on AI projects, but does not specify a location, pay range, or particular benefits.