The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world's most powerful Vision-Language-Action (VLA) models.
What makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible.
Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform.
For researchers, this means an opportunity to:
Work on fundamental challenges in robotics and AI: multimodal learning, tactile-rich manipulation, sim-to-real transfer, and large-scale benchmarking
Access state-of-the-art infrastructure: hundreds of humanoid robots, GPU clusters, high-fidelity simulators, and a global-scale evaluation pipeline
Collaborate with leading experts across academia and industry, and publish results that will shape the next decade of robotics
Contribute to an initiative that will redefine the future of embodied AI—with all results made open to the world
As we prepare for our official launch on October 1, 2025, we are assembling a world-class team ready to pioneer the next era of robotics.
Job Description
In this role, you will be responsible for:
Designing and building scalable data collection systems that operate across hundreds of humanoid and mobile robots
Developing semi-autonomous teleoperation systems that ensure low latency, high controllability, and minimal operator workload
Creating automated pipelines to deploy trained models and rigorously evaluate them in both simulation and real-world robotic platforms
Working closely with the Vision-Language-Action (VLA) team to seamlessly integrate and deploy cutting-edge models onto physical robots
Requirements
Required Qualifications
Ph.
D. in Robotics, Mechanical Engineering, Computer Science, or a related field, or M.S. with 3+ years of equivalent industry or research experience
Extensive hands-on experience with physical robotic platforms (e.g., mobile robots, manipulators such as UR5, Franka Emika, HSR, or humanoids like Spot)
Demonstrated ability to control real robots using ROS / ROS2, including full-stack integration and deployment
Solid understanding and implementation experience in teleoperation, AR/VR interfaces, and leader-follower architectures
Strong programming proficiency in C++ and Python, with ability to contribute production-level code and perform system-level integration
Proven ability to work both independently and collaboratively in multidisciplinary research and engineering teams
■Note
・Candidates focused solely on theoretical research (e.g., reinforcement learning or explainable AI) without practical robotics experience will not be considered.
・However, candidates do not necessarily need to meet every single qualification to be considered for this role.
Preferred Qualifications
Publication record in top-tier robotics conferences or journals (RSS, CoRL, ICRA, IROS, TRO, IJRR)
Publications limited to CVPR, ICCV, or NeurIPS could be considered AI-centric and scored lower for this position
Experience implementing advanced control strategies on hardware (impedance control, force/torque control, admittance control, or model predictive control)
Practical experience with tactile sensing or contact-rich manipulation
Experience leading or contributing to large-scale robot data collection or fleet management systems
Familiarity with robotic simulators (Isaac Sim, MuJoCo, or PyBullet) for training and evaluation
Experience integrating Sim2Real transfer or Vision-Language-Action (VLA) models onto real robotic systems
Benefits
There are currently no comparable projects in the world that collect data and develop foundation models on such a large scale.
As mentioned above, this is one of Japan's leading national projects, supported by a substantial investment of 20.5 billion yen from NEDO.
This position will play a crucial role in determining the success of the project.You will have broad discretion and responsibility, and we are confident that, if successful, you will gain both a great sense of achievement and the opportunity to make a meaningful contribution to society.
Furthermore, we strongly encourage engineers to actively build their careers through this project—for example, by publishing research papers and engaging in academic activities.
Tokyo Ryutsu Center A Bldg. AW4-5, 6-1-1 Heiwajima, Ota-ku, Tokyo , Japan
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