Excel Quality Assurance Lead

You will review AI-generated Excel work and trainer or QA output against project guidelines. Your focus will be formula correctness, spreadsheet logic, data-analysis accuracy, model structure, clarity, reproducibility, formatting, instruction-following, and rubric adherence.

You will also provide written feedback, support contributor onboarding, maintain documentation, and improve quality processes when you see recurring spreadsheet issues.

• Review formulas, spreadsheet workflows, financial models, data-cleaning steps, pivot-table guidance, charts, and explanations.
• Check for incorrect formulas, wrong references, circular logic, weak assumptions, missing edge cases, fragile models, misleading charts, and incomplete explanations.
• Answer questions about lookups, dynamic arrays, pivot tables, Power Query, modeling assumptions, and rubric interpretation.
• Create style guides, examples, trackers, FAQs, calibration tasks, onboarding materials, and other Excel documentation.
• Communicate guideline changes and Excel standards to contributors.
• Run onboarding and training calls for Excel contributors.
• Improve QA processes based on recurring spreadsheet-quality gaps.

What It Pays and Takes

This is a part-time contractor role for someone with strong Excel analysis and spreadsheet QA experience. Clear written English, an organized working style, and experience supporting remote contributors are required.

• Pay: $55 per hour.
• Time: 20+ hours per week.
• Location: United States.
• Language: English.
• Work type: Contractor and part-time.
• Experience level: Intermediate.
• Advanced Excel knowledge, including XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS, FILTER, SORT, UNIQUE, LET, and LAMBDA.
• Familiarity with Power Query, Power Pivot, VBA or macros, Solver, and scenario modeling.
• Experience leading or supporting remote teams of trainers, analysts, reviewers, finance professionals, educators, or QA specialists.
• Helpful background includes finance, accounting, business, data analytics, economics, statistics, operations, or information systems.
• Experience with AI training, data annotation, large language model evaluation, spreadsheet QA, or rubric-based review is helpful.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind modern AI systems, including reviewing model outputs, checking analysis, and preparing examples that help models improve. People with strong subject knowledge are needed to spot subtle errors and give clear feedback.