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Location
Remote (United States, India)
Seniority
Middle · 3+ years exp
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Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

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.

Requirements

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.

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