▼Job Description
Design, develop and implement teleoperation systems, including real‑time control, low‑latency audio/video streaming and operator-facing interfaces.
Work closely with robot operators to gather feedback from real‑world use and continuously improve the user experience.
Provide data‑quality feedback through the teleoperation UI to encourage higher‑quality data collection.
Develop and maintain applications that support data collection, such as internal tools and dashboards.
Build intuitive web‑based interfaces for managing and monitoring data pipelines.
Collaborate with VLA teams and Data/ML platform teams to ensure seamless data ingestion and workflow management.
Design and implement APIs to facilitate data interactions between internal services and external data sources.
Develop configuration‑management systems to store and update metadata, including robot configurations and task descriptions.
Ensure secure communication through robust authentication and access‑control mechanisms.

・A New Challenge for the AI Robotics Association (AIRoA)

The AI Robotics Association (AIRoA) is launching an ambitious initiative to collect one million hours of humanoid robot operation data from hundreds of robots and use it to train the world’s most powerful Vision-Language-Action (VLA) models.

What makes AIRoA unique is not only the unprecedented scale of our real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared “robot data ecosystem” where datasets, trained models, and benchmarks are available for anyone to use.

・What this means for researchers

For researchers, this means the opportunity to:
Tackle fundamental challenges in robotics and AI, including multimodal learning, manipulation with rich tactile feedback, 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 from academia and industry, and publish that will shape the next decade of robotics
Contribute to redefining the future of embodied AI—while all results are shared openly with the world

Flextime system

■Required Qualifications
- Bachelor's degree in Computer Science or a related field (or equivalent practical experience).

- 4+ years of professional experience as a full‑stack engineer, with proficiency in both backend and frontend development.

　　- Backend: Proficiency in implementing solutions using technologies such as Go and Python FastAPI.

　　- Frontend: Proficiency in modern frameworks such as Next.js, React.

　　- Cloud: Familiarity with cloud platforms such as AWS or GCP.

　　- Leadership: Experience leading and driving technical decisions with initiative as a Tech Lead, Team Lead, or equivalent.

- Demonstrated experience in at least one of the following areas:

　　- A strong understanding of real‑time communication protocols (e.g., WebRTC, WebSocket, MQTT, gRPC).

　　- Experience with large-scale data processing.

　　- Hands-on experience with ROS/ROS2 and related web tools (e.g., ROSBridge, Foxglove, Webviz).

■Preferred Qualifications
- Specialized Technical Experience

　　- Experience with development micro services.

　　- Experience with development of realtime dashboards.

　　- Familiarity with robot telemetry, sensor data visualization, and live camera feeds.

　　- Experience optimizing system performance using performance analysis tools.

- DevOps, SRE & Quality Assurance

　　- Familiarity with best practices, including observability, CI/CD, and incident response.

　　- Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

　　- Proficiency in implementing and maintaining automated testing across all levels (unit, integration, E2E).

Fluent (TOEIC 865-)

Daily Conversation Level

Social Insurance

Five-Day Workweek
Summer Holidays
Winter Holidays
Congratulatory or Condolence Leave
Child-care Leave
Paid Holidays

Full-time employment