Public summary
We are seeking a Digital Twin and Synthetic Reality Expert to work on advanced Spatial AI projects involving 3D simulations and synthetic environments. The role focuses on 3D point-cloud annotation, physics-consistency auditing, spatial semantic labeling of complex infrastructures, and validating AI performance between simulated and real-world environments to help create digital twins of physical spaces for future autonomous infrastructure and industrial metaverse applications.
Location and work setup
- Location
- Germany
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Key responsibilities include 3D point-cloud annotation using LiDAR and depth data, auditing synthetic data for physics-consistency (gravity, lighting, collisions), annotating digital twins of factories, hospitals, or cities to teach AI the functions of machinery and infrastructure, and performing synthetic-to-real validation to detect and correct reality gaps in AI training data.
Qualifications
Must hold at least a Bachelor's degree in Cybersecurity, Criminal Justice, Forensic Science, or Information Security. Native-level proficiency in your primary language is required to identify localized document types and regional identity nuances. English language proficiency at a minimum B1 (intermediate) level is necessary. Candidates should have exceptional attention to detail, especially for identifying pixel-level anomalies in digital images. Selection involves a subject-specific qualification exam and ID verification.