Company profile
Remote jobs at Robotensor
Robotensor currently has 5 open remote roles on Hidden Jobs. 5 were added during the last 7 days. The most represented roles are AI Engineer (4), Data Engineer (1). Salary information is not disclosed on the current active listings. The most common eligibility is Global (China preferred) (5).
Jobs
Most common locations
- Global (China preferred)5
Most common roles
- AI Engineer4
- Data Engineer1
Robotensor currently has 5 open remote roles on Hidden Jobs. 5 were added during the last 7 days. The most represented roles are AI Engineer (4), Data Engineer (1). Salary information is not disclosed on the current active listings. The most common eligibility is Global (China preferred) (5).
Experience levels represented: Not specified (4), Lead (1).
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Current openings
5 active roles detected; full descriptions are public and original application links require Hidden Jobs Access.
Research Engineer, Robot Learning
AI Engineer Global (China preferred)
This role focuses on training and improving large-scale robot learning systems that connect multimodal observations with physical action. The work spans the full model lifecycle,…
Research Engineer – Robot Foundation Models
AI Engineer Global (China preferred)
Research engineering role focused on developing foundation models for general-purpose robots. You would work at the intersection of robotics research and production-oriented machi…
Research Engineer, Benchmarking, Robotics
AI Engineer Global (China preferred)
This role designs the benchmarks and evaluation systems used to measure the capabilities of general-purpose robot models. The work goes beyond running predefined tests: it involve…
Data Engineer, Embodied AI
Data Engineer Global (China preferred)
This role builds the data infrastructure that supports embodied-AI policy learning. The focus is on generating, ingesting, processing, curating, storing, and serving multimodal ex…
Simulation Engineer – Embodied AI
AI Engineer Global (China preferred)
This role creates the simulation environments and digital twins used to train and evaluate embodied-AI policies. The goal is not visual reproduction alone, but simulation that gen…