Overview

Are you experienced in garment manufacturing quality control and interested in helping train the next generation of AI systems? As AI models are increasingly applied to global manufacturing, supply chain monitoring, and production analysis, their ability to reason about quality standards, inspection processes, and factory workflows depends on accurate, real-world training data. That training data begins with practitioners who understand how garments are actually produced and evaluated.

Responsibilities

On a typical day, you will review and discuss garment quality inspection scenarios with the model, verify whether model reasoning aligns with real factory QC practices, evaluate defect classification and severity assessment, analyze inspection workflows across production stages, capture recurring model errors, and suggest improvements to training prompts and evaluation criteria.

Qualifications

General experience in garment manu...