Logistics & Supply Chain Management Specialist
- Role
- Operations
- Experience
- Mid
- Employment
- Contract
- Company size
- Startup
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No BS summary
Logistics and supply chain specialist with 3+ years of hands-on experience in packing lists, bills of lading, inventory registers, workflows, and global operations. Must be fluent in English and comfortable working remotely as a contractor on AI training/evaluation work.
Required languages
- Contract
- Job Title: Logistics & Supply Chain Management Specialist
- Job Type: Contractor
- Location: Remote
About the hiring company:
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.
The company works with highly accomplished professionals in fields such as software engineering, finance, healthcare, legal, operations, research, and other specialized domains. These experts contribute directly to the development of advanced AI systems by providing real-world knowledge, evaluations, feedback, and domain-specific judgment that help models reason more accurately and perform more effectively.
Leveraging a proprietary AI-driven talent assessment and matching platform, the organization identifies exceptional professionals globally and connects them with high-impact projects at the forefront of artificial intelligence.
Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy and creating meaningful opportunities for professionals to apply their expertise in entirely new ways.
Job Summary:
Engaging Logistics & Supply Chain Management Specialists to contribute expertise to a customer's project focused on optimizing supply chain processes and documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This engagement prioritizes professionals with advanced knowledge of global logistics, an analytical mindset, and fluency in English.
Scope of Work
- Review, analyze, and provide input on logistics documents such as packing lists, bills of lading, and inventory registers for authenticity, accuracy, and industry compliance.
- Develop and annotate sample documentation to highlight best practices in logistics and supply chain management.
- Evaluate and suggest improvements in current supply chain workflows based on real-world experience.
- Deliver detailed feedback on logistics-related scenarios, focusing on document structures and process optimization.
- Collaborate with project teams to clarify requirements and explain complex logistics concepts through clear communication.
- Participate in quality assurance processes by validating the relevance and correctness of supply chain data sets.
- Contribute to the creation of training materials and resources reflecting industry standards and nuanced supply chain challenges.
Preferred Qualifications
- 3+ years of hands-on experience in logistics and supply chain management, particularly with packing lists, bills of lading, and inventory registers.
- Comprehensive understanding of logistics workflows, documentation, and global supply chain operations.
- Ability to communicate complex technical concepts with clarity in English.
- Meticulous attention to detail when reviewing and creating supply chain documentation.
- Proven analytical skills and experience identifying process improvements in a logistics context.
- Master’s degree in Supply Chain Management, Logistics, or a related field is a plus.
- Comfort working independently in a remote, collaborative environment and delivering timely, high-quality contributions.
A very attractive and competitive package is offered.
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I'm interested
I'm interested
What you'll do
- Review, analyze, and provide input on logistics documents such as packing lists, bills of lading, and inventory registers for authenticity, accuracy, and industry compliance.
- Develop and annotate sample documentation to highlight best practices in logistics and supply chain management.
- Evaluate and suggest improvements in current supply chain workflows based on real-world experience.
- Deliver detailed feedback on logistics-related scenarios, focusing on document structures and process optimization.
- Collaborate with project teams to clarify requirements and explain complex logistics concepts through clear communication.
- Participate in quality assurance processes by validating the relevance and correctness of supply chain data sets.
- Contribute to the creation of training materials and resources reflecting industry standards and nuanced supply chain challenges.
What they require
- 3+ years of hands-on experience in logistics and supply chain management, particularly with packing lists, bills of lading, and inventory registers.
- Comprehensive understanding of logistics workflows, documentation, and global supply chain operations.
- Ability to communicate complex technical concepts with clarity in English.
- Meticulous attention to detail when reviewing and creating supply chain documentation.
- Proven analytical skills and experience identifying process improvements in a logistics context.
- Preferred: Master’s degree in Supply Chain Management, Logistics, or a related field is a plus.
- Comfort working independently in a remote, collaborative environment and delivering timely, high-quality contributions.
Benefits
- A very attractive and competitive package is offered.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. By combining world-class human expertise with advanced machine learning workflows, they enable leading AI organizations to build, evaluate, and improve cutting-edge models used across a wide range of industries.