The work
As an Excel Team Lead, you will review AI-generated spreadsheet work and trainer or QA submissions for accuracy, clarity, structure, and compliance with project guidelines. You will also give written feedback, support contributors, and help improve spreadsheet quality processes.
- Review Excel formulas, spreadsheet workflows, financial models, data-cleaning steps, pivot-table guidance, charts, and analysis explanations.
- Check formula correctness, references, logic, data-analysis accuracy, model structure, formatting, reproducibility, instruction-following, and rubric adherence.
- Identify circular logic, fragile models, weak assumptions, missing edge cases, misleading charts, incorrect formulas, and incomplete explanations.
- Answer questions about lookup logic, dynamic arrays, pivot tables, Power Query, modeling assumptions, and rubric interpretation.
- Share guideline changes and Excel standards with contributors, and run onboarding and training calls.
- Create documentation, style guides, examples, trackers, FAQs, calibration tasks, honeypots, and onboarding materials.
- Track recurring spreadsheet-quality issues and help improve QA processes.
What it pays and takes
This is an intermediate-level, part-time contractor role open to candidates in the United States. The expected time commitment is at least 20 hours per week.
- Pay: $55 per hour.
- Location: United States.
- Time: 20+ hours per week.
- Work type: Contractor and part time.
- Language: Clear written communication in English.
- Experience: Strong Excel analysis and spreadsheet QA experience.
- Excel knowledge: XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS, FILTER, SORT, UNIQUE, LET, LAMBDA, Power Query, Power Pivot, VBA or macros, Solver, and scenario modeling.
- Leadership: Experience leading or supporting remote teams of trainers, analysts, reviewers, finance professionals, educators, or QA contributors.
- Organization: A structured approach to trackers, FAQs, calibration tasks, and onboarding materials.
- Helpful background: A degree or equivalent experience in finance, accounting, business, data analytics, economics, statistics, operations, or information systems.
- Helpful experience: AI training, data annotation, large language model evaluation, spreadsheet QA, or rubric-based review.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a platform where people find AI-training roles and start their applications.
About AI training work
AI training is the human work behind systems that learn from examples, including reviewing model answers, checking analysis, and rating whether outputs follow instructions. Experienced reviewers are needed to catch errors, explain quality standards, and help make AI systems more reliable.