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.

1. 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).

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading technology company as part of their extended workforce.

2. 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.

3. 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.

• Prior experience in AI training, human data annotation, or model evaluation — ideally Rubrics-trained on Mercor or a comparable platform — is a strong plus.

• 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.

About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.