Information technology, software development, data jobs in Ngong, Kenya

4 jobs found

TELUS International

Robotics AI Specialist (AI Community)

Nairobi

Kenya

AQIQ Solutions Limited

ERP Functional Consultant

Nairobi

Kenya

MSVL Group

IT SALES MANAGER

Nairobi

Kenya

Fixa Rwanda

Data Scientist (Remote)

Nairobi

Kenya

Only on Fuzu
Smart Applications International Ltd

Database Administrator

Nairobi

Kenya

Closed for applications
Smart Applications International Ltd

DevOps Engineer

Nairobi

Kenya

Closed for applications
Tezza Business Solutions

Integration / API Tester – Core Banking (T24/Temenos)

Nairobi

Kenya

Closed for applications
Canonical

Senior Jira Administrator

Nairobi

Kenya

Closed for applications
InterIntel Technologies

Junior Frontend Developer

Nairobi

Kenya

Closed for applications

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TELUS International

Personalized Internet Assessor Kenya (English Language)

Nairobi

Kenya

Closed for applications
TELUS International

Computers + 1 more

Robotics AI Specialist (AI Community)

Job details

Contract Type

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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