Logistics & Supply Chain Management Specialist

Weekday AI; United States; Remote; USD 55,000 - 69,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Long-term engagement opportunities

Job summary

Weekday AI is seeking a Logistics & Supply Chain Management Specialist for a fully remote contractor role. You will review and annotate logistics documents, support AI training data, and collaborate with cross-functional teams to improve processes.

The ideal candidate has 3+ years of experience in logistics, strong English communication, and meticulous attention to detail. Flexible, long-term engagements are possible, with remote work and project-based milestones.

Qualifications

• Minimum 3+ years of professional logistics experience.
• Experience with packing lists, BOLs, inventory registers.
• Strong English communication and attention to detail.
• Ability to work remotely and meet deadlines.

Responsibilities

• Review, analyze, and validate logistics documents for accuracy and compliance.
• Create and annotate sample logistics documents demonstrating best practices.
• Evaluate existing workflows and recommend practical process improvements.
• Provide structured feedback on logistics scenarios for accuracy and efficiency.
• Collaborate with cross-functional teams to clarify concepts and communicate processes.
• Participate in quality assurance by reviewing datasets used for AI training.
• Contribute to documentation standards and training materials reflecting best practices.

Skills

3+ years exp

Attention to detail

English communication

Education

Master's degree in SCM/Logistics

Job description

This role is for one of our clients

$40- $50/hourpay

Role Title: Logistics & Supply Chain Management Specialist
Role Type: Contractor
Location: Remote

We are seeking experienced Logistics & Supply Chain Management Specialists to contribute their expertise to an AI-driven project focused on optimizing supply chain operations, documentation, and business workflows. In this role, you will help improve next-generation AI systems by providing high-quality, real-world insights into logistics processes and industry-standard documentation.

No prior experience in artificial intelligence is required. Your expertise in logistics, supply chain operations, and global trade documentation will play a critical role in developing more accurate and reliable AI models.

Key Responsibilities

• Review, analyze, and validate logistics documents, including packing lists, bills of lading, inventory registers, and related shipping documentation for accuracy, completeness, and industry compliance.
• Create and annotate sample logistics documents that demonstrate best practices in supply chain management and operational excellence.
• Evaluate existing supply chain workflows and recommend practical process improvements based on real-world industry experience.
• Provide structured feedback on logistics scenarios, emphasizing document quality, workflow efficiency, and operational accuracy.
• Collaborate with cross-functional project teams to clarify logistics concepts and communicate complex supply chain processes clearly and effectively.
• Participate in quality assurance activities by reviewing and validating logistics datasets used for AI training and evaluation.
• Contribute to the development of reference materials, documentation standards, and training resources that reflect modern supply chain operations and industry best practices.

Required Qualifications

• 3+ years of professional experience in logistics, supply chain management, freight operations, procurement, or related fields.
• Hands-on experience working with logistics documentation such as:
  • Packing Lists
  • Bills of Lading (BOL)
  • Inventory Registers
  • Shipping and transportation documentation
• Strong understanding of global logistics operations, inventory management, freight movement, and supply chain workflows.
• Excellent analytical and problem-solving abilities with experience identifying operational improvements.
• Strong written and verbal communication skills in English.
• High attention to detail with the ability to review complex documentation accurately.
• Ability to work independently in a remote, collaborative environment while meeting project deadlines.

Preferred Qualifications

• Master's degree in Supply Chain Management, Logistics, Operations Management, or a related discipline.
• Experience improving logistics processes or implementing operational efficiencies.
• Familiarity with international shipping standards, inventory control systems, and supply chain documentation practices.
• Experience contributing to documentation, training materials, or process standardization initiatives.

Engagement Details

• Fully remote opportunity with flexible working arrangements.
• Collaborate with multidisciplinary teams on AI-focused logistics and supply chain projects.
• Opportunity to apply real-world logistics expertise to improve advanced AI systems.
• Long-term engagement opportunities may be available based on project requirements and performance.

Equal Opportunity

We are committed to providing equal opportunities to all qualified applicants and offer reasonable accommodations throughout the application and engagement process upon request.