About the role
Liva AI is a data company building the multimodal datasets that make AI feel truly human. We’re building a factory of consumer-facing software designed to capture naturally occurring voice and video data at scale. We believe multimodal models will become the primary interface for human-computer interaction, yet a massive and rapidly growing data gap stands in the way.
We’ve raised a $3M seed round (backed by YC, Amino Capital, CRV, angels from OpenAI and Meta, and more). We’re working with leading AI labs and voice-agent companies and have sold a wide variety of high-demand datasets.
As a member of our engineering team, you’ll own end-to-end systems for collecting, validating, and quality-assuring frontier multimodal data. This includes building data collection products and annotator workflows, as well as scaling the infrastructure and evaluation pipelines.
WHAT YOU’LL DO:
- Design and build data collection platforms: web apps, mobile apps, and annotation interfaces
- Build robust QA pipelines with automated validation, quality checks, and error detection systems
- Lead the automation of key operational processes
- Contribute to the core infrastructure powering data collection and quality assurance for leading AI labs
REQUIRED SKILLS:
- Experience building scalable, performant full stack applications in production environments
- Strong proficiency in Node.js/TypeScript, React/Next.js, and Python
- Familiarity with cloud infrastructure and services (GCP) and Docker
- A proactive mindset, comfortable iterating quickly based on user feedback
- Bonus: Experience with annotation platforms, data labeling tools, human-in-the-loop workflows, or mobile app development
BENEFITS:
