Source description
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
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Design and build data collection platforms: web apps, mobile apps, and annotation interfaces
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Build robust QA pipelines with automated validation, quality checks, and error detection systems
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Lead the automation of key operational processes
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Contribute to the core infrastructure powering data collection and quality assurance for leading AI labs
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REQUIRED SKILLS:
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Experience building scalable, performant full stack applications in production environments
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Strong proficiency in Node.js/TypeScript, React/Next.js, and Python
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Familiarity with cloud infrastructure and services (GCP) and Docker
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A proactive mindset, comfortable iterating quickly based on user feedback
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Bonus: Experience with annotation platforms, data labeling tools, human-in-the-loop workflows, or mobile app development
Benefits
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Daily lunch & dinner covered
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Free gym membership
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Health insurance
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Opportunity to be an early member of a fast growing YC-backed startup
