Excel Specialist & AI Document Quality Evaluator (Remote)

YO IT Consulting

United States

On-site

USD 55,104 - 110,208

Part time

14 days+

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Job summary

YO IT Consulting seeks an Excel Specialist for a remote contract role. You will design and simulate realistic business scenarios using Excel, PowerPoint, and Word, mirroring tasks from your professional experience.

The role requires 3+ years in Fortune 500 environments, creating complex models, reports, analyses, and presentations across finance, healthcare, tech, consulting, or retail. Strong written and verbal communication is essential, with experience prompting AI tools considered a plus.

Qualifications

3+ years of professional experience in Fortune 500 environments using Excel, PowerPoint, and Word on high‑impact business projects.
Demonstrated expertise in creating complex models, reports, analyses, and presentations across industries such as finance, healthcare, tech, consulting, or retail.
Background in business roles such as private equity associate, investment banking analyst, junior consultant, FP&A analyst, HR, or marketing strategist, with hands‑on deal or project work.
Proficiency in designing use cases reflecting functions like strategy, operations, sales, marketing, finance, or HR.
Exceptional written and verbal communication skills, with a keen eye for detail and clarity in articulating feedback.
Experience interacting with LLMs or writing long‑form prompts for AI tools is a strong plus.
Strong analytical mindset and ability to evaluate nuanced differences in document quality and business applicability.

Responsibilities

Design and simulate challenging, realistic business scenarios requiring expert use of Excel, PowerPoint, and Word.
Engage in structured, multi-turn conversations with an LLM, presenting complex document prompts and evaluating AI-delivered outputs.
Create and review Office documents (.xlsx, .docx, .pptx), assessing AI-generated solutions against professional standards and selecting the preferred output.
Document feedback with side-by-side data to inform AI model improvements focused on quality, accuracy, and business relevance.
Contribute domain-specific insights across industries and business functions, ensuring data collected covers diverse real-world use cases.
Communicate clearly in written and verbal formats to ensure precise understanding and actionable feedback for AI training teams.