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Salary: USD 30,000 - 160,000 / annual
Speechify is a text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, articles, and websites into audio. The company was recently named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity. With ~200 employees distributed globally and no physical offices, Speechify operates a fully remote, asynchronous culture.
You'll join the Data side of the AI team, responsible for all aspects of data collection to support model training operations. The team builds high-quality datasets at petabyte scale through tight integration of infrastructure, engineering, and research. This is a hands-on role where you'll be scrappy in finding new audio data sources and bringing them into the ingestion pipeline.
Key responsibilities include: operating and extending cloud infrastructure for the ingestion pipeline (currently GCP, managed with Terraform); collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with AI leadership to shape the dataset roadmap for next-generation consumer and enterprise products.
You'll need a BS/MS/PhD in Computer Science or related field, plus 5+ years of industry software development experience. Required skills: bash/Python scripting in Linux, Docker, Infrastructure-as-Code, and hands-on experience with a major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. You should be comfortable juggling multiple priorities, adapting to change, and communicating clearly both written and verbally.
The role offers a fast-growing environment where you can shape the company and product, an entrepreneurial team that supports risk and hustle, hands-off management, and the opportunity to impact a transformative industry at the intersection of AI and audio. You'll work on a product that directly supports people with learning differences including dyslexia, ADD, low vision, and autism.
