Open Data Science

This remote contractor role involves designing and building reinforcement learning environments that teach large language models kernel development, hardware optimization, and systems programming. The position, and low-level engineering. The team focuses on creating realistic feedback loops where models learn to write high-performance code across GPU and CPU architectures. Key responsibilities include developing diverse tasks for machine learning and software engineering, targeting specific language models, and ensuring the difficulty distribution meets required standards. The position appeals to engineers with deep expertise in areas such as CUDA, LLVM, MLIR, PyTorch extensions, and distributed inference frameworks like vLLM. Candidates are expected to have strong Python skills and a clear understanding of LLM limitations. The company is backed by Tier 1 Silicon Valley venture capital and aims to create next-generation training data to push AI closer to its transformative potential. The role requires advanced English proficiency and at least four hours of overlap with Pacific Standard Time. This opportunity offers a chance to work on cutting-edge AI infrastructure and contribute to the future of model training through innovative data creation methods. View more