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What the work is
Join a leading technology company's GenAI initiative and put your financial-modeling expertise at the core of how the next generation of AI models learns to work in Excel.
Overview
We're seeking advanced Excel experts with deep, hands-on experience in finance — professionals who live in spreadsheets, building financial models and analyses at a senior, professional level. Your expertise will directly elevate the quality of the training data behind the most advanced Large Language Models.
This role is for finance professionals who apply advanced Excel — three-statement modeling, valuation, forecasting, and data analysis — in domains such as private equity, investment banking, hedge funds, and equity research (accounting / FP&A also welcome).
Key Responsibilities
- Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks within finance.
- Design realistic, domain-relevant Excel tasks drawn from your professional experience, and write accurate, well-structured solutions.
- Evaluate Excel tasks and solutions and provide clear, written feedback.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Who gets hired
Core Qualifications
- Demonstrated advanced, professional-level Excel expertise, including advanced formulas (e.g., XLOOKUP, INDEX/MATCH, dynamic arrays), PivotTables, financial modeling, dashboards, Power Query, Power Pivot, and macros/VBA.
- Hands-on professional experience applying Excel within a finance domain — private equity, investment banking, hedge funds, or equity research (accounting / FP&A also considered), including work such as three-statement models, LBO/DCF and valuation, and forecasting.
- Demonstrable career progression in your field.
- Ability to engage reliably for 40 hours/week during weekdays through the end of September, then 20 hours/week thereafter.
- Verbal and written communication skills, problem-solving skills, and interpersonal skills.
- United States–based only.
Pay
$70–100/hr, fully remote.