Transportation and Warehousing Expert (English)

You will review transportation and warehousing materials so AI systems can learn from accurate supply chain knowledge. The work includes documents, cargo records, logistics scenarios, and system-generated responses.

You will explain operational processes clearly, create scenarios that test AI reasoning, and work with project managers and technical teams through written and verbal communication.

• Analyze transportation, logistics, and warehousing scenarios.
• Curate, review, and validate materials about supply chain operations, cargo management, dispatch, freight movement, inventory, distribution, and routing.
• Evaluate AI-generated outputs for accuracy and relevance.
• Create domain-specific queries and scenarios that test AI reasoning.
• Identify knowledge gaps using current industry standards and regulations.

This is a remote, part-time contractor role. Prior AI training experience is not required, but the work requires strong real-world knowledge of transportation, warehousing, and logistics operations.

• Pay: USD $30 to $70 per hour.
• Work arrangement: Remote, part-time contract work.
• Language: Fluent English.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Experience: At least five years as a logistician, supply chain manager, transportation or distribution manager, cargo and freight agent, or dispatcher.
• Knowledge: Warehousing, transportation, logistics operations, and relevant regulations.
• Skills: Explain complex supply chain ideas clearly, review operational data and process documents carefully, and use standard logistics software, management systems, or tracking tools.
• Helpful experience: Diverse cargo, distribution models, multimodal transport networks, and remote collaboration.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that understand documents, answer questions, and make decisions. People with transportation and warehousing expertise review examples, rate AI responses, and give clear feedback so models learn accurate industry practices.