Research Engineer, Multilingual Data

Cartesia•San Francisco, CA

15h•Onsite

About The Position

About Cartesia Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. About The Role To build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Multilingual Data Specialist to own the quality and coverage of our multi-lingual models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale. Your Impact Design and build large-scale multilingual datasets for model training. Build evaluations of multilingual speech models, both via manual annotation and at scale with automated metrics. Partner with product teams to ensure support for key languages and markets.

Requirements

Experience building or working with large multilingual datasets
Experience evaluating generative models across multiple languages.
Ability to help guide human annotation and evaluation across multiple languages.

Nice To Haves

Familiarity with the nuances of multi-lingual speech is preferred.

Responsibilities

Design and build large-scale multilingual datasets for model training.
Build evaluations of multilingual speech models, both via manual annotation and at scale with automated metrics.
Partner with product teams to ensure support for key languages and markets.