looking for an RL Environment Data Engineer/Researcher to design, build, and refine reinforcement learning training environments across different domains. This role will focus on data collection, task definition, reward design, evaluation criteria, anti-reward-hacking mechanisms, and post-training validation of environment data effectiveness. Responsibilities - Design … hacking and identify loopholes in reward design. - Build validation environments to assess the effectiveness of post-training data and RL environment design. - Collaborate with research, engineering, and data teams to improve environment coverage, task difficulty, and evaluation reliability. - Follow research progress in RL environments, data evaluation, AI agents ...