Robotics AI Specialist (AI Community)

Key Responsibilities: Physical Data Evaluation: Audit video and sensor data to ensure robotic movements are logical, safe, and efficient. Spatial Reasoning & Annotation: Provide expert feedback on 3D environments, helping AI models understand depth, distance, and physical obstacles. Simulation & Digital Twin Testing: Review and grade AI performance in simulated environments to identify errors before hardware deployment. Safety & Physics Validation: Ensure AI-generated physical instructions adhere to the laws of physics and rigorous engineering safety standards. Edge-Case Detection: Identify complex real-world scenarios (e.g., lighting changes, surface textures, or moving hazards) that could confuse a robotic system. Qualification path Mandatory Qualifications: Education: Minimum of a Bachelor’s Degree in Robotics, Mechanical Engineering,or a related technical field. Native Language: Native-level proficiency in your primary language is mandatory to assist in localized voice commands and regional safety documentation. English Proficiency: Minimum B1 (Intermediate) level English for technical safety reporting and global collaboration. Technical Interest: Basic understanding of computer vision, sensor fusion, or autonomous systems.