AI Training Sound Engineering Specialist

Risedatalabs; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Rise Data Labs seeks an AI Training Sound Engineering Specialist to annotate and label audio data, enhancing AI models with high-quality sound datasets. You will apply domain expertise across audio fields to ensure accurate training data and contribute to model improvements.

This remote-first role involves collaboration on diverse AI projects, focusing on audio data processing, quality assurance, and alignment with project needs.

Qualifications

• Bachelor’s degree in Sound Engineering or related field.
• Proven experience in sound engineering or audio data processing.
• Strong attention to detail with audio files of varying quality.
• Familiarity with AI training processes and data annotation tools.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Train and improve AI models through detailed audio data annotation and labeling.
• Review and validate AI-generated sound content for accuracy.
• Provide domain expertise to enhance AI model performance in sound analysis.
• Work on various AI training projects across different audio-related fields.
• Ensure high-quality data for machine learning applications by conducting thorough assessments.

Skills

Sound engineering

Audio data processing

Attention to detail

AI training processes

Communication

Education

Bachelor’s degree in Sound Engineering, Audio Technology, or related field

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As an AI Training Sound Engineering Specialist at Rise Data Labs, you will play a pivotal role in enhancing AI models through meticulous data annotation and labeling. Your expertise will directly influence the quality and accuracy of AI-generated content, ensuring that our AI systems are trained on high-quality sound data.

Key Responsibilities

• Train and improve AI models through detailed audio data annotation and labeling.
• Review and validate AI-generated sound content for accuracy and relevance.
• Provide domain expertise to enhance AI model performance in sound analysis.
• Work on various AI training projects across different audio-related fields.
• Ensure high-quality data for machine learning applications by conducting thorough assessments.

Required Skills and Qualifications

• Bachelor’s degree in Sound Engineering, Audio Technology, or a related field.
• Proven experience in sound engineering or audio data processing.
• Strong attention to detail and ability to work with audio files of varying quality.
• Familiarity with AI training processes and data annotation tools.
• Excellent communication skills and ability to collaborate with cross-functional teams.

Preferred Qualifications

• Experience with machine learning concepts and applications in audio.
• Knowledge of audio editing software and tools.
• Previous work in data annotation or AI model training.

What We Offer

At Rise Data Labs, we provide a dynamic work environment that fosters innovation and growth. You will have the opportunity to work on cutting-edge AI projects, collaborate with talented professionals, and enhance your skills in the evolving field of AI and sound engineering.