Logistics AI Evaluation Expert

OpenTrain AI, Inc.

United States

Remote

USD 83,000 - 124,000

Full time

7 days ago
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Job summary

OpenTrain AI, Inc. is seeking a Logistics AI Evaluation Expert to ground large language models in logistics and supply chain operations.

This remote contractor role lasts up to 10 weeks with a 40-hour week and an 8-hour overlap with Pacific Time. You will define fleet parameters, validate dispatch logs, rosters, manifests, and routing logic, and sign off on AI tools while calibrating workflows against real-world practice.

Qualifications

  • Five+ years in logistics or fleet dispatch.
  • Bachelor's degree or equivalent experience.
  • Strong writing, analytics, and QA judgment.
  • Remote work with reliable high-speed internet.

Responsibilities

  • Define fleet, service-area, time-window, and capacity parameters.
  • Establish guardrails on hours, limits, and SLAs.
  • Validate dispatch logs, rosters, manifests and context files.
  • Verify routing, assignment rules, SLA calculations, and cost formulas.
  • Review and sign off on AI tools, calibrating routing workflows and inventory-management frameworks.

Skills

Logistics expertise
Fleet dispatch
Supply chain management
Routing
Scheduling
Driver assignment
Shipment tracking
Delivery cost metrics

Education

Bachelor's degree

Tools

Excel

Job description

About OpenTrain

OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.

About this role

OpenTrain is recruiting a Logistics AI Evaluation Expert to ground large language models in advanced logistics and supply chain operations. You will apply practical fleet dispatch knowledge to evaluate AI-generated tools, refine operational logic, and ensure routing, assignment, inventory, service-level, and cost outputs align with professional field-operations standards.

What you will do

You will define fleet, service-area, time-window, and capacity parameters for logistics workflows. You will establish guardrails covering driver hours, weight and volume limits, delivery SLAs, and operational constraints. You will validate dispatch logs, driver rosters, shipment manifests, and other operational context files. You will verify routing logic, assignment rules, SLA calculations, cost formulas, and data-validation structures. You will review and sign off on AI-generated route planners, work order managers, vendor trackers, and related tools, while calibrating routing workflows and inventory-management frameworks against real-world logistics practice.

Required skills

You should have at least five years of experience in logistics, fleet dispatch, supply chain management, or field-service operations, with hands-on expertise in routing, scheduling, driver assignment, shipment tracking, and delivery cost metrics. You should be able to translate dispatch rules into deterministic spreadsheet formulas, capacity constraints, and validation structures. Strong concise writing, analytical reasoning, and quality-review judgment are required, along with a bachelor's degree or equivalent practical experience. A personal computer and stable high-speed internet connection are required for remote work. Experience in AI evaluation, data annotation, content review, quality assurance, or another analytical role is helpful.

Schedule and engagement

This is a remote contractor engagement lasting up to 10 weeks. The expected commitment is 40 hours per week, including 8 hours of overlap with Pacific Time. Weekend on-call availability is required.

Why work with OpenTrain

OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.

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