Excel Expert — General

DigiNo; Northern (KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Cincinnatus LLC is seeking advanced Excel experts to contribute to the training data for AI models. You will design Excel tasks, provide solutions, and guide researchers to improve model performance across multiple domains.

Ideal candidates have breadth across modeling, dashboards, automation, and data analysis, with strong teaching or training experience. This is a W-2 role placed at a leading tech company, based in the United States.

Qualifications

• Advanced, professional-level Excel expertise across multiple domains.
• Experience teaching or training; PhD is a strong plus.
• Experience in AI training, data annotation, or model evaluation is a plus.
• Able to commit 40 hours/week weekdays through September, then 20 hours/week.
• United States-based only.

Responsibilities

• Guide research teams to close knowledge gaps and improve AI model performance on Excel-based tasks.
• Design realistic Excel tasks from your experience and write accurate solutions.
• Evaluate tasks and provide clear, written feedback.
• Collaborate with subject matter experts to ensure training data accuracy.

Skills

Advanced Excel

XLOOKUP

INDEX/MATCH

Dynamic arrays

PivotTables

Data modeling

Power Query

Power Pivot

Macros/VBA

Education

PhD preferred

Tools

Mercor rubric training

Job description

Join a leading technology company's GenAI initiative and put your Excel expertise at the core of how the next generation of AI models learns to work in spreadsheets.

1. Overview

We're seeking advanced Excel experts with broad, cross-industry experience — versatile professionals who have applied Excel at an expert level across a range of functions and industries, rather than in a single niche. Your expertise will directly elevate the quality of the training data behind the most advanced Large Language Models.

This role is for generalists who bring genuine breadth — modeling, data analysis, dashboards, and automation applied across multiple domains and business functions.

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 across a range of domains.
• Design realistic 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, data modeling, dashboards, Power Query, Power Pivot, and macros/VBA.
• Breadth of Excel application across multiple industries and business functions — not single-function specialization — is a strong plus.
• Teaching or training experience and/or a PhD is a strong plus.
• Prior experience in AI training, human data annotation, or model evaluation — ideally Rubrics-trained on Mercor or a comparable platform — is a strong plus.
• 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.

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.