Software Engineer, AI Data - Baton Rouge, LA, USA

Role overview Build the data pipelines and processing systems that supply audio datasets for AI model training and related products. The work combines backend engineering, data quality, and infrastructure, with ownership from investigating a need through delivery and ongoing improvement.

Responsibilities - Find audio data sources and develop dependable ways to bring their content into training datasets. - Build and refine large-scale processing systems, balancing data quality, throughput, and operating cost. - Work with AI researchers to improve datasets and support development of new models. - Lead engineering work from problem discovery through implementation and continued optimization.

Requirements - Degree in computer science or a related area, or equivalent practical experience. - At least five years of professional software engineering experience and strong backend fundamentals. - Proficiency with Python and Bash in Linux environments. - Experience building and operating production software; data pipelines or large-scale processing experience is especially relevant. - Strong problem-solving skills, initiative, and ability to work independently when requirements are unclear.

Nice to have - Experience with web crawling, data acquisition, or distributed processing systems. - Cloud infrastructure and infrastructure-as-code experience, particularly with GCP and Terraform. - Familiarity with machine-learning datasets, dataset quality, or audio processing.

Benefits and work setup The role offers autonomy, an asynchronous work culture, and the opportunity to contribute to AI and audio products. The listing gives a US base salary range of $140,000–$200,000, plus bonus and equity, depending on experience.