Software Engineer, AI Data - Colorado Springs, CO, USA

Role overview Build and operate data pipelines that supply audio datasets for training AI models and developing new products. The work combines backend engineering, large-scale data processing, and collaboration with AI researchers to improve dataset quality and make training more efficient.

Responsibilities - Find audio data sources and create dependable pipelines to bring suitable data into training datasets. - Build and improve large-scale processing systems, balancing data quality, throughput, and cost. - Work with AI researchers to refine datasets and support model development. - Own engineering projects from identifying a problem through implementation and ongoing improvement.

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

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

Benefits and work setup The role offers autonomy, an asynchronous work culture, and the opportunity to contribute to products intended to make reading more accessible. The stated US base salary range is $140,000–$200,000, with bonus and equity; the amount depends on experience.