Information technology, software development, data Jobs for Entry and Basic-level in Kenya

1 jobs found

TELUS International

Robotics AI Specialist (AI Community)

Nairobi

Kenya

Canonical

Senior Jira Administrator

Nairobi

Kenya

Closed for applications
InterIntel Technologies

Junior Frontend Developer

Nairobi

Kenya

Closed for applications
TELUS International

Personalized Internet Assessor Kenya (English Language)

Nairobi

Kenya

Closed for applications
NTT Limited

SAP Architecture Consultant

Nairobi

Kenya

Closed for applications
NTT Limited

Senior Associate SAP Architecture Consultant

Nairobi

Kenya

Closed for applications
DDD Kenya Ltd

Associate- (Technical Operator- I)

Nairobi

Kenya

Closed for applications
KiliMax Software

Software QA Specialist

Nairobi

Kenya

Closed for applications
KiliMax Software

Java Developer

Nairobi

Kenya

Closed for applications

Get personalised job alerts directly to your inbox!

KiliMax Software

Web Front-End Developer

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.


Start hiring with Fuzu

Recruit better talent faster - on your own or with our support.

Explore recruitment platform