High-quality video, audio, image, and interaction data for frontier AI. Backed by Y Combinator and AI Grant.
About the role
Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
What they're looking for
- 3+ years building internal infrastructure at scale
- Experience on-call for Sev 0 / Sev 1 production incidents (L3 preferred)
- Strong cloud experience (GCP, AWS, Oracle, Cloudflare, etc.)
- Deep Infrastructure-as-Code experience (Terraform preferred)
- Familiarity with Argo, Helm, Kustomize, or similar deployment tools
- Experience operating observability systems (Prometheus, OTel, VictoriaMetrics)
More about this role
Sieve is a multi-modal lab curating the world's highest-quality training datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.
We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners , Swift Ventures , Y Combinator , and AI Grant .
Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
About the Role
We process petabytes of video across thousands of nodes and multiple cloud environments, and as we scale, reliability, observability, and security become existential. We're...
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