Excel- Supply Chain AI Trainer- $90-$100/hour

LinkedIn

LinkedIn

Software Engineering, Operations, Data Science

United States

USD 90-100 / hour

Posted on May 17, 2026

Project Overview:

Join a growing community of professionals advancing the next wave of AI. As an AI Trainer, you’ll play a hands-on role by analyzing and providing feedback on data to improve LLM performance, helping ensure that the next generation of AI technology is accurate and trustworthy.

We are seeking a skilled Supply Chain expert to work as a project consultant in our AI Labor Marketplace. This is not a full-time employment position — you will be engaged as an expert project consultant on a contract basis.

Location: U.S.-based experts only

Engagement: Part-time, 1099 project-based expert evaluation work

Work Type: Remote

Project Summary:

This project focuses on developing high-quality, expert-authored Excel training data across multiple business domains, including IT/Enterprise Software, Supply Chain, Manufacturing, Business Operations, and Office/Retail Management. Contributors will simulate realistic business scenarios by building structured Excel datasets, designing analytical questions, and demonstrating step-by-step problem-solving workflows. The work emphasizes real-world applicability, structured reasoning, and advanced Excel usage reflective of professional environments.

Develop Excel scenarios for demand forecasting, inventory optimization, logistics planning, vendor performance, and cost-to-serve modeling.

Responsibilities:

Contributors will:

  • Build datasets reflecting multi-node supply chains
  • Create forecasting and inventory-related problem sets
  • Deliver structured solutions and evaluation criteria
  • Record walkthroughs explaining tradeoffs and assumptions

Expected Outcomes:

  • Realistic supply chain datasets and planning models
  • Analytical questions spanning forecasting → optimization
  • Clear, expert-led Excel walkthroughs

Qualifications:

  • 3–7 years in supply chain, planning, or logistics
  • Experience with forecasting, inventory, or vendor analytics
  • Advanced Excel (scenario modeling, large datasets)