About Aerobotics

Our mission is to provide intelligent tools to feed the world. We do this by delivering actionable tree and fruit insights to growers across 18 countries, powered by imagery and advanced computer vision.

To date, we've analyzed over 340 million trees and 65 million fruit, helping farmers make critical operational and agricultural decisions that maximize yield and efficiency. Our global team of 50+ professionals is headquartered in Cape Town, with commercial offices in the USA, Australia, Portugal, Spain, and South America.

The Opportunity

We’re opening our doors to curious, driven minds for 2-3 weeks of vacation work in our Technology team in Cape Town. This is your chance to roll up your sleeves alongside our Computer Vision experts, tackling real-world AI challenges that are shaping the future of agriculture.

You’ll get hands-on experience with cutting-edge agricultural technology and sharpen your software development skills. Whether you’re passionate about AI, tech innovation, or sustainable food production, this is the perfect launchpad.

What You'll Do

• Curate our ML dataset: help us build out our datasets that we use to train our machine learning models. This includes labelling, identifying where our models are underperforming, and building an intuition for the relationship between the dataset and model performance.
• Small software project: Get your hands dirty writing code to build a small computer vision system.

What You'll Need

• You’re currently in progress or recently completed with a BEng or BSc in Computer Science or similar degree
• You’re available for a minimum of 2 consecutive weeks
• You’re located in Cape Town and can work in the office for the full period
• Clear motivation for why you want to develop your ML skills and why with the Aerobotics team

Application Process

• Submit your university transcript
• Submit your answers to the application questions below
• Online Introductory interview
  

Applications accepted on a rolling basis. Contact us to discuss timing based on your university break schedule.