Abstract

Training AI models requires high-volume, high-quality data annotation. Contractors in the Global South often meet this demand under questionable conditions. Meanwhile, people with Autism Spectrum Disorder (ASD) have above-average abilities in this field. As part of a pilot project, a global technology company created an inclusive in-house team to annotate traffic images. This paper introduces the Training Station, an accessible learning and practice platform, as well as a digital aptitude test for image annotation. According to feedback from the inclusive annotation team, the Training Station effectively conveys an understanding of the image annotation task to applicants. Recent efforts aim to integrate machine learning tasks into the platform to provide a learning ecosystem for new AI-related jobs.