Software Engineer, AI Data - Porto, Portugal

Role overview Build the data foundations for AI models and related products by sourcing audio and turning it into reliable training datasets. The work combines backend engineering, large-scale processing, and close collaboration with research, with a focus on improving dataset quality, speed, and cost.

Responsibilities - Find audio data sources and develop dependable pipelines to ingest them 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 the creation of new models. - Own engineering work from identifying a problem through implementation and ongoing improvement.

Requirements - A degree in computer science or a related subject, or equivalent practical experience. - At least five years of professional software engineering experience and strong backend fundamentals. - Proficiency in 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 the ability to work independently when requirements are ambiguous.

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

Benefits and work setup The role is listed for Porto, Portugal. The team describes an autonomous, asynchronous working culture and offers compensation that may include a bonus and stock. The stated Portugal range is USD 30,000–65,000 per year, depending on experience. The work sits at the intersection of AI and audio, with the potential to contribute to tools intended to make reading more accessible.