Remote Embodied AI Robotics Engineer — Global Community

Island Jobs; United States; Remote; USD 28,000 - 69,000; Full time

Job summary

TELUS Digital is seeking a Robotics AI Specialist to audit and improve embodied AI systems by evaluating physical data and ensuring safe, efficient robotic actions. You will contribute to 3D environment annotations and help AI understand depth and obstacles in real-world settings.

The role emphasizes testing AI performance in simulations, validating physics-aligned instructions, and detecting edge cases such as lighting changes and moving hazards.

Qualifications

• Bachelor's degree in Robotics Engineering, Mechanical Engineering, Mechatronics, Electrical/Electronic Engineering, Automation Engineering.
• 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.

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.

Skills

Robotics basics

Autonomous systems

Computer vision

Sensor fusion

Education

Bachelor's degree in Robotics Engineering

Job description

TELUS Digital is seeking a Robotics AI Specialist to audit and improve embodied AI systems by evaluating physical data and ensuring safe, efficient robotic actions. You will contribute to 3D environment annotations and help AI understand depth and obstacles in real-world settings.

The role emphasizes testing AI performance in simulations, validating physics-aligned instructions, and detecting edge cases such as lighting changes and moving hazards.