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 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 1099-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.

Build realistic Excel-based scenarios reflecting SaaS and enterprise IT workflows, including product usage analytics, licensing models, revenue attribution, system performance tracking, and customer health metrics.

Responsibilities:

Contributors will:

• Create Excel datasets simulating SaaS metrics (ARR/MRR, churn, usage)
• Develop analytical questions on performance, segmentation, and attribution
• Produce structured answers with clear evaluation criteria
• Record walkthroughs explaining modeling and logic
• Apply real-world IT and systems knowledge to ensure accuracy

Expected Outcomes:

• Complete Excel training units grounded in SaaS/IT workflows
• Clear analytical frameworks for usage and revenue analysis
• Expert walkthroughs demonstrating structured reasoning

Qualifications:

• 4+ years in SaaS analytics, RevOps, IT analytics, or systems operations
• Strong Excel modeling skills (lookups, cohorting, multi-sheet models)
• Experience working with product, CRM, or system performance data