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RLWRLD
Data-Centric AI Research Engineer
Seoul, South KoreaPosted 7 months ago
What you'd do
- Define data composition strategy for robotics tasks covering diversity,coverage,and edge case distribution
- Build and operate multimodal robot data curation pipelines for vision,state,action,and force data
- Design benchmark scenarios and evaluation metrics linking training data changes to model performance outcomes
What they want
- Process large-scale complex data formats including Parquet,MCAP,and protobuf with practical experience
- Diagnose data distribution problems using statistical analysis and tools such as Grafana or Kibana
- Process and analyze data in Python with experience in Git-based collaborative development workflows
Nice to have
- Build automated labeling pipelines using OpenCV or PyTorch with active learning optimization strategies
- Understand RL,imitation learning,and VLA training workflows from hands-on robotics data experience
Seoulstart's read
- Visa tier (likely)
- E-7 specialty / professional (likely)
- Korean language
- Korean requirement not stated
- English friendliness
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