Remote AI Sound Engineer Trainer - Flexible Growth

Rise Data Labs

Philippines

Remote

PHP 360,000 - 720,000

Full time

28 hours ago
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Benefits offered by this job

Competitive compensation
Flexible working hours
Professional growth

Job summary

Rise Data Labs in the Philippines seeks an AI Sound Engineering Trainer to annotate and label sound data to train AI models and ensure high-quality results on diverse projects. You will review AI-generated content and apply your domain knowledge in sound engineering to improve model performance.

Collaborating with cross-functional teams, you will help ensure data quality for machine learning applications. The role offers a remote-first environment with flexible hours and opportunities for

Qualifications

  • Bachelor's degree in Sound Engineering, Audio Production, or a related field.
  • Strong attention to detail and accuracy in data annotation.
  • Familiarity with machine learning concepts and data labeling tools.
  • Excellent communication skills for collaboration with cross-functional teams.

Responsibilities

  • Train AI models by annotating and labeling sound data accurately.
  • Review and validate AI-generated sound content for precision and quality assurance.
  • Provide domain expertise in sound engineering to enhance AI model efficacy.
  • Collaborate on various AI training projects across multiple fields.
  • Ensure high-quality data is available for machine learning applications.

Skills

Attention to detail
Data annotation accuracy
Machine learning concepts
Communication skills

Education

Bachelor's degree in Sound Engineering or related field

Tools

Audio analysis software

Job description

Rise Data Labs in the Philippines seeks an AI Sound Engineering Trainer to annotate and label sound data to train AI models and ensure high-quality results on diverse projects. You will review AI-generated content and apply your domain knowledge in sound engineering to improve model performance.

Collaborating with cross-functional teams, you will help ensure data quality for machine learning applications. The role offers a remote-first environment with flexible hours and opportunities for

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