Audio Data Researcher - Remote

Overview

As an Audio Data Researcher at Cartesia, you will lead the design and creation of high-quality datasets for training advanced audio models, contributing to the development of real-time multimodal intelligence.

In Short

• Lead the design of datasets for audio model training.
• Develop strategies for curating and labeling audio datasets.
• Create innovative data augmentation techniques.
• Collaborate with researchers and engineers for dataset optimization.
• Build tools for scalable data processing and validation.
• Deep expertise in audio data processing required.
• Experience with audio processing libraries and tools.
• Strong programming skills in Python.
• Comfortable with large-scale data processing.
• Collaborative mindset essential for team alignment.

Requirements

• Expertise in audio data processing challenges.
• Experience with libraries like librosa and torchaudio.
• Familiarity with audio data augmentation techniques.
• Understanding of dataset quality metrics.
• Programming skills in Python with PyTorch or TensorFlow.
• Comfort with large-scale data processing and storage.
• Ability to collaborate effectively with teams.

Benefits

• Lunch, dinner, and snacks provided at the office.
• Fully covered medical, dental, and vision insurance.
• Pension plan offered.
• Relocation and immigration support available.
• Inclusive company culture promoting teamwork.