MANDATORY CRITICAL MATCH CRITERIA (READ FIRST):
- Experience:
3 to 30 years of dedicated experience in Logistics and Supply Chain Management. A stable career history with no excessive job-hopping is strictly required.
- Education:
Master's degree in Supply Chain Management, Logistics, or a related field preferred; Bachelor's degree with equivalent hands-on experience accepted.
- Core Skills:
Hands-on experience executing at least TWO of the following platform-verified workflows: reviewing and annotating packing lists, verifying bills of lading, auditing inventory registers, and mapping global supply chain workflows.
- Software/Tools:
Working proficiency in enterprise inventory registers and modern digital document verification systems.
- Communication:
Fluent, professional English communication skills for mandatory technical and non-technical cross-functional coordination.
- Logistics:
100% strictly Remote model with flexible hours (choice of 20 hours/week part-time or 40 hours/week full time if available immediately).
Position Overview
We are seeking experienced Logistics & Supply Chain Management Specialists to apply their deep domain knowledge to train next-generation AI systems by providing high-quality, real-world input on logistics operations and documentation. Your work will directly shape how advanced AI models learn, reason, and optimize workflows across global supply chain scenarios. No prior AI experience is required; your hands-on industry expertise is what matters most.
Core Responsibilities
- [Document Verification & Compliance]:
Review, analyze, and provide expert input on packing lists, bills of lading, and inventory registers for authenticity, accuracy, and industry compliance.
- [Data Annotation & Standardization]:
Develop and annotate complex sample documentation that highlights global best practices in logistics and