Overview

Are you experienced in garment manufacturing quality control? 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. This training data begins with practitioners who understand how garments are actually produced and evaluated.

Responsibilities

• Review and discuss garment quality inspection scenarios with the model, and verify whether model reasoning aligns with real factory QC practices.
• Evaluate defect classification and severity assessment, and analyze inspection workflows across production stages.
• Capture recurring model errors and suggest improvements to training prompts and evaluation criteria.

Qualifications

• General experience in garment manufacturing environments, including familiarity ...