At xAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of software, data, infrastructure, and machine learning to ensure our models train effectively and reliably.

Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training

Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance

Collaborate with peers on architecture, design, and code reviews

Build prototypes to prove out key design concepts and quantify technical constraints

Own all aspects of software engineering and product development

Deep dive into business problems, find efficient solutions and apply first principles thinking