Logistics AI Evaluation Expert

You will help make AI tools more reliable for logistics and field operations. Your work will use real-world knowledge of dispatch, routing, scheduling, shipments, inventory, and delivery costs.

You will set operating rules, check source documents, test calculations, and review AI-generated tools against professional logistics practices.

• Set fleet, service-area, delivery time-window, and capacity parameters.
• Create rules for driver hours, weight and volume limits, delivery service levels, and other operating constraints.
• Check dispatch logs, driver rosters, shipment manifests, and related operational files.
• Verify routing logic, driver and shipment assignments, service-level calculations, cost formulas, and data-validation structures.
• Review and approve AI-generated route planners, work order managers, vendor trackers, and related tools.
• Adjust routing workflows and inventory-management frameworks to reflect real logistics practice.

What it pays and takes

The role details do not list a pay rate. It is a remote contractor engagement lasting up to 10 weeks.

• Hours: The role description expects 40 hours per week, including 8 hours of overlap with Pacific Time; the listing also indicates a commitment of 20 or more hours per week.
• Availability: Weekend on-call availability is required.
• Location: Remote and open worldwide, with a personal computer and stable high-speed internet connection required.
• Language: English.
• Experience: At least five years in logistics, fleet dispatch, supply chain management, or field-service operations.
• Knowledge: Hands-on experience with routing, scheduling, driver assignment, shipment tracking, and delivery cost metrics.
• Technical ability: Translate dispatch rules into spreadsheet formulas, capacity limits, and data-validation structures.
• Other requirements: Strong concise writing, analytical reasoning, quality-review judgment, and a bachelor's degree or equivalent practical experience.
• Helpful background: AI evaluation, data annotation, content review, quality assurance, or another analytical role.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work is the human side of building artificial intelligence. People review examples and model outputs so AI systems can follow useful rules, and experienced professionals are paid to apply the judgment that general data cannot provide.