Member of Technical Staff, Data & ML Infrastructure for Video Models

About Cantina

Cantina Labs is a social AI company developing advanced real-time models for expression, personality, and realism. We build and power ecosystems with our flagship social AI platform.

About the Role

Member of Technical Staff to build and scale data pipelines behind large video generation models. This role focuses on collecting large amounts of relevant video data, preparing high-quality training samples, and developing robust preprocessing, filtering, and parsing workflows. You'll orchestrate annotation pipelines across platforms and own the full lifecycle of training data from raw ingestion to clean, model-ready samples.

What You'll Do

• Build and maintain data pipelines for large video generation models, including data ingestion, parsing, filtering, preprocessing, and dataset curation at scale using tools such as AWS S3 and DynamoDB
• Design and run annotation workflows across platforms such as MTurk, Prolific, and other annotation services