The Block Research is looking for a passionate individual to join our 25-person research team. As a data analyst on our Research team, you will help us create infrastructure for our existing and future data products, as well as automate insights that our team uses on a daily basis. You will work directly with the Research Lead of Data, Simon Cousaert, and the existing data team.
To train Gen AI models you will craft and answer questions related to computer science in order to help train AI models. You will also evaluate and rank code generated by AI models.
Join our Natural Language Processing (NLP) and Generative AI Data Science team as a Data Science Intern, where you’ll get hands-on experience collecting and working with real-world, publicly available data from online sources. This role is perfect for someone who loves writing Python scripts, diving into web structures, and building clean, usable datasets that power high-impact AI models.
This role as Manager of Healthcare Data Engineering is within CommonSpirit’s Payer Strategy & Analytics (PSA) team. As the Manager, you will manage and optimize PSA’s data repositories, tools and applications to support the delivery of exceptional patient care through contracting excellence. Your leadership and expertise in data engineering will be pivotal in driving innovation and efficiency within our organization.
We are seeking an experienced Analytics Implementation Engineer to join our growing team. In this role, you will take ownership of tracking and instrumentation across multiple digital products, ensuring data integrity and visibility from front-end tagging to data pipelines. You will work closely with engineering, marketing, and analytics teams to implement robust and scalable solutions that drive data-informed decision-making.
Lead the end-to-end execution of LLM training projects involving Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Reinforcement Learning from Execution Feedback (RLEF). Lead a cross-functional team of AI Trainers, Leads, and Engineering Managers to ensure the delivery of high-quality data and model improvements. Serve as the senior-most researcher accountable for strategic client alignment, throughput, quality, and operational efficiency across multiple programming languages (Python, JavaScript, Java, etc.).