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MANDATORY CRITICAL MATCH CRITERIA (READ FIRST):
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Experience:
3+ years of dedicated experience in Logistics & Supply Chain Management. A stable career history is strictly required.
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Education:
Bachelor’s degree in Supply Chain, Logistics, or related field (Master’s preferred).
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Core Skills:
Expert proficiency in Packing Lists, Bills of Lading, Inventory Registers, Supply Chain Workflow Optimization, and Documentation Compliance.
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Communication:
Native-level English fluency is required for high-level technical documentation and cooperative syncs.
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Logistics:
100% strictly Remote model.
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Position Overview
This role focuses on optimizing supply chain documentation to train next-generation AI systems. You will apply deep domain expertise to validate, annotate, and improve real-world logistics data,
ensuring AI models learn accurate industry standards and nuanced operational workflows.
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Core Responsibilities
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Document Analysis:
Review Packing Lists, Bills of Lading, and Inventory Registers for absolute accuracy and compliance.
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Workflow Optimization:
Evaluate and refine supply chain processes based on industry best practices.
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AI Training Input:
Annotate and create high-quality sample documentation to refine AI logic and reasoning.
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Quality Assurance:
Validate complex supply chain data sets to ensure technical correctness.
How to Apply
? Please click the "Apply" button directly on this platform and ensure you accurately complete the mandatory screening questions. Applications with incomplete screening responses or profiles failing to meet the baseline experience metrics will be filtered out by o
📌 Supply Chain Documentation Specialist (India)
🏢 Amrapali.org
📍 India
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