Excel- Manufacturing/ Operations 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 Manufacturing / Operations domain 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.

Create Excel-based training data reflecting production planning, yield analysis, throughput tracking, quality metrics, and plant-level cost analysis.

Responsibilities:

Contributors will:

  • Design datasets for production and operational workflows
  • Develop questions on efficiency, quality, and cost drivers
  • Produce structured answers with evaluation criteria
  • Record walkthroughs demonstrating operational reasoning

Expected Outcomes:

  • Excel models simulating plant operations and reporting
  • Clear analysis of production and quality metrics
  • Walkthroughs grounded in real manufacturing logic

Qualifications:

  • 4+ years in manufacturing, industrial engineering, or operations
  • Experience with production, yield, or cost analysis
  • Strong Excel skills for operational modeling and reporting