Logistics and warehousing professionals build realistic supply-chain and cargo scenarios and check AI-generated outputs against industry practice. It suits people with years of hands-on dispatch, freight or distribution management experience.
About the role
Location: Remote
micro1 is engaging Transportation and Warehousing Experts to contribute to a dynamic project for a valued customer. 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.
Scope of Work
- Analyze and provide detailed feedback on logistics, transportation, and warehousing scenarios to inform AI model development.
- Curate, review, and validate real-world data and documents relevant to supply chain, cargo management, dispatch operations, and freight movement.
- Develop clear written explanations of complex processes such as inventory management, distribution planning, and cargo routing.
- Evaluate system-generated outputs for accuracy and relevance to logistics and warehousing best practices.
- Create domain-specific queries, case studies, or hypothetical scenarios that test AI reasoning in transportation and storage contexts.
- Collaborate with project managers and technical teams via precise written and verbal communication to ensure deliverable quality.
- Identify gaps in AI system knowledge and propose enhancements based on current industry standards and regulations.
Preferred Qualifications
- Minimum of 5 years' experience as a Logistician, Supply Chain Manager, Transportation/Distribution Manager, Cargo and Freight Agent, or Dispatcher.
- Comprehensive knowledge of warehousing, transportation, and logistics operations and regulations.
- Demonstrated ability to articulate complex supply chain concepts both verbally and in writing.
- Detail-oriented approach to reviewing operational data, workflows, and process documentation.
- Proficiency with industry-standard logistics software, management systems, and tracking tools.
- Experience handling diverse cargo, distribution models, or multimodal transport networks.
- Strong collaborative skills for remote project participation and feedback exchange.
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