Entry and Basic-level Jobs in Pumwani, Kenya

141 jobs found

TELUS International

Robotics AI Specialist (AI Community)

Nairobi

Kenya

Closed for applications
National Basketball Association (NBA) Kenya

Paralegal

Nairobi

Kenya

Closed for applications
Infotrak Research and Consulting

Enumerator- Nairobi

Nairobi

Kenya

Closed for applications
Wasoko

Transport Dispatcher

Nairobi

Kenya

Closed for applications
Kenya Red Cross Society

Content Creator/News Intern

Nairobi

Kenya

Closed for applications
The Tamarind Group

Human Resource Intern

Nairobi

Kenya

Closed for applications
Kwetu Nairobi, Curio Collection by Hilton

Mixologist

Nairobi

Kenya

Closed for applications
Pharmaplus Pharmacy

Sales Nutritionist

Nairobi

Kenya

Closed for applications
Plan International

Operations Coordinator (People & Culture)

Nairobi

Kenya

Closed for applications

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Tetra Pak Limited

Future Talent Program 2026 - Expression of Interest

Nairobi

Kenya

Closed for applications

Country / Region

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TELUS International

Computers + 1 more

Robotics AI Specialist (AI Community)

Closed for applications
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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