Audio Data for AI Labs. Backed by Y Combinator.
About the role
We’re looking for a founding engineer to help build the platform behind high-quality human voice data for the next generation of speech and audio models. You’ll work across the stack on systems for audio recording, data quality, human review, internal operations, and delivery to leading AI and voice AI labs. You’ll be building products used by thousands of people every day, with high ownership across product, infrastructure, and data quality.
What they're looking for
- Strong full-stack engineering ability
- High ownership and comfort working on ambiguous problems
- Care for product details, data correctness, and operational reliability
- Ability to ship quickly without losing sight of long-term system quality
- Strong Postgres or backend systems experience
- Familiarity with cloud infrastructure, data pipelines, and production systems
More about this role
We’re looking for a founding engineer to help build the platform behind high-quality human voice data for the next generation of speech and audio models. You’ll work across the stack on systems for audio recording, data quality, human review, internal operations, and delivery to leading AI and voice AI labs. You’ll be building products used by thousands of people every day, with high ownership across product, infrastructure, and data quality.
- Build and improve applications for collecting and reviewing speech data
- Design reliable systems for audio quality assurance
- Work with TypeScript, React/Next.js, Postgres, and cloud storage
- Create internal tools that make complex data operations easier to run and audit
- Improve reliability, observability, and quality across the data pipeline
- Ship to production quickly
- Strong full-stack engineering ability
- High ownership and comfort working on ambiguous problems
- Care for product details, data correctness, and operational reliability
- Ability to ship quickly without losing sight of long-term system quality
- Strong Postgres or backend systems experience
- Familiarity with cloud infrastructure, data pipelines, and production...
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