Physical AI Trainer - RoboGym (human)
LocationAachen
Work modeon-site
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentAI
Company size1,001–5,000 people
PostedAug 26, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master's degree in Computer Science, Robotics, Electrical Engineering, or related field
3+ years of hands-on experience in robot learning or physical AI training
Solid Python skills (C++ a plus)
Practical experience with PyTorch or TensorFlow
Comfortable working directly with real robot hardware, teleoperation setups, and associated middleware
Strong instructional and problem-solving abilities; able to manage multiple training projects in parallel
Clear communicator who can translate between researchers, engineers, and end-users
Good command of English and German (B2–C1 level)
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus
Skills
Python
C++
PyTorch
TensorFlow
AWS
Azure
GCP
IsaacSim
MuJoCo
Your mission & challenges
•
Act as hands-on trainer for NeuraGym users: design training curricula, scope task feasibility, and plan demonstration/data-collection sessions for robot skill acquisition
•
Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment, and validation
•
Collaborate closely with robotics engineers during data capture and live demonstrations to ensure desired behaviors and safety standards are achieved
•
Guide users through model training and refinement: review training scripts, identify data quality issues, help reproduce and resolve learning failures; step in hands-on when a blocker persists
•
Serve as a key interface between trainees/users and the cloud and AI teams, facilitating collaboration and support where needed
•
Feed lessons learned from training sessions back into both the NeuraGym product roadmap and the Neura core AI roadmap
What we can look forward to
•
Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field
•
3+ years of hands-on experience in robot learning or physical AI training
•
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow
•
Comfortable working directly with real robot hardware, teleoperation setups, and associated middleware
•
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus
•
Strong instructional and problem-solving abilities; able to manage multiple training projects in parallel
•
Clear communicator who can translate between researchers, engineers, and end-users, with good command of English and German (B2–C1 level)