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TELUS International
Robotics AI Specialist (AI Community)
Nairobi
• Kenya
Closed for applications
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Fortinet, INUA AI, Smart Applications International Ltd, Software Dynamics, TELUS InternationalProfession (Computers, software development and services, Entry and Basic-level)
Industry (Information technology, software development, data, Entry and Basic-level)
Agriculture, fishing, forestry,Banking, microfinance, insurance,Computers, software development and services,Construction, renovation, maintenance,Consulting, business support, auditing,Education, academic,Energy, utilities, environment,Finance & FinTech,Financial Services,Health care, medical,Manufacturing,Non-profit, social work,Restaurant, hospitality, travel,Telecommunications,Transportation, logistics, storage,
Seniority (Information technology, software development, data, Computers, software development and services)
© Fuzu Ltd
TELUS International
Computers + 1 more
Description
Mandatory Qualifications:
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Education: Minimum of a Bachelor’s Degree in Robotics, Mechanical Engineering,or a related technical field.
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Native Language: Native-level proficiency in your primary language is mandatory to assist in localized voice commands and regional safety documentation.
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English Proficiency: Minimum B1 (Intermediate) level English for technical safety reporting and global collaboration.
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Technical Interest: Basic understanding of computer vision, sensor fusion, or autonomous systems.
Responsibilities
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Physical Data Evaluation: Audit video and sensor data to ensure robotic movements are logical, safe, and efficient.
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Spatial Reasoning & Annotation: Provide expert feedback on 3D environments, helping AI models understand depth, distance, and physical obstacles.
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Simulation & Digital Twin Testing: Review and grade AI performance in simulated environments to identify errors before hardware deployment.
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Safety & Physics Validation: Ensure AI-generated physical instructions adhere to the laws of physics and rigorous engineering safety standards.
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Edge-Case Detection: Identify complex real-world scenarios (e.g., lighting changes, surface textures, or moving hazards) that could confuse a robotic system.
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