Machine Learning Model Builder (Contract position)

Aerobotics; Wes-Kaap; Hybrid; ZAR 167,400 - 279,000; Part time

Job summary

A technology-driven company in Cape Town is looking for detail-oriented individuals for a 3-month contract role focused on fruit image annotation. Ideal candidates have strong visual reasoning skills and attention to detail. This entry-level position offers a hybrid work setup, allowing flexibility in remote work. Training will be provided to help improve data quality for machine learning models.

Responsibilities

• Complete specialized training in fruit image annotation
• Review and improve ML datasets by correcting annotations
• Identify and report data quality issues
• Maintain high annotation accuracy for computer vision models

Skills

Strong visual and spatial reasoning abilities

Attention to detail

Analytical thinking

Excel proficiency

Google Sheets and Docs proficiency

Education

Higher education degree or diploma

Job description

Overview

Aerobotics City of Cape Town, Western Cape, South Africa. 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 seeking detail-oriented individuals with strong visual and spatial reasoning skills to help build and refine our fruit datasets. This role involves complex visual interpretation of fruit imagery, including estimating fruit edges, colours and quality in partially occluded or challenging lighting conditions.

You will

• Complete specialized training in fruit image annotation and quality assessment
• Review and improve ML datasets by correcting annotations on fruit imagery
• Identify and report data quality issues and potential process improvements
• Produce/Maintain high annotation accuracy that forms the foundation of our computer vision models

Employment details

• This opportunity is a 3-month contractor agreement with the potential to extend the contract.
• Candidates are expected to work in a hybrid setup (Mon, Wed, Fri in office, with Tues & Thurs optional in-office or remote).

What You'll Need

• Higher education degree or diploma
• Strong visual and spatial reasoning abilities
• Excel, Google Sheets and Docs proficiency
• Excellent attention to detail and analytical thinking
• Your own laptop and a stable internet connection
• Based in Cape Town

Application Process

• A short take-home assessment will be sent to qualifying applicants.
• Applicants who are successful in the assessment stage will progress to a 15-minute introductory interview.

Seniority level

• Entry level

Employment type

• Contract

Job function

• Information Technology

Industries

• Agriculture, Construction, Mining Machinery Manufacturing