Technical Lead, Data Quality

This role serves as the technical owner of data quality for NewtonX's AI data annotation and RLHF initiatives, partnering with the Program Lead to ensure produced data effectively supports customer AI model training and evaluation. The position involves designing task structures, defining quality metrics, and acting as the technical counterpart to client ML teams to diagnose and resolve data quality issues. It requires deep expertise in post-training human data, reinforcement learning, and statistical validation to guarantee the integrity and utility of the delivered datasets.