Alignerr is seeking Robotics ML Experts to design and refine MuJoCo simulation environments for training AI agents in physical tasks. The role involves implementing reinforcement learning algorithms, tuning reward functions, and optimizing physics simulations. Ideal candidates are experienced practitioners in robot control and Python-based ML frameworks who can work independently in a remote, flexible environment.