Research Scientist

As a researcher working on DaaS (Data-as-a-Service) , you will focus on developing novel approaches for data generation, curation and evaluation. You will be responsible for designing innovative techniques that combine automated methods with human expertise to achieve best-in-class efficiency and quality. You will collaborate closely with engineering and operations teams, as well as our customers’ research teams,  to define the future of data generation workflows that will power frontier AI models. Main Responsibilities include conducting research on data curation and generation to support emerging use cases across domains, build sophisticated evaluators to measure quality in our data, and write clear, maintainable Python code to support experiments and production pipelines.