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ClusterBox
Merchant Success Associate
Nairobi
• Kenya
Closed for applicationsOnly on Fuzu
Profession (Computers, software development and services, Entry and Basic-level)
Accounting, finance, banking, insurance,Business, strategic management,Customer support, client care,Information technology, software development, data,Manufacturing, operations, quality,Mechanical engineering,Media, communications, languages,Sales, marketing, promotion,Transportation, logistics, driving,
Industry (Entry and Basic-level)
Aeronautics,Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Communications, media, radio, tv,Computers, software development and services,Construction, renovation, maintenance,Consulting, business support, auditing,Data/Research,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Entertainment, events,Financial Services,Fitness, well-being and lifestyle,Governmental,Health care, medical,Housekeeping, maintenance,Human resources, talent development, recruiting,Legal, accounting,Manufacturing,Marketing, advertising,Non-profit, social work,Outsourcing, leasing,Real estate,Restaurant, hospitality, travel,Retail, wholesale, FMCG,Telecommunications,Transportation, logistics, storage,
Seniority (Computers, software development and services)
© Fuzu Ltd
TELUS International
Computers + 1 more
Description
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.
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.
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