Remote Excel Specialist for AI-Driven Document Reviews

YO IT Consulting

Finland (MN)

On-site

USD 55,104 - 103,320

Part time

14 days+

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Job summary

YO IT Consulting is seeking an experienced Excel Specialist for a remote contract role. You will design and simulate realistic business scenarios, build expert-level models in Excel, and review Office documents (.xlsx, .docx, .pptx) against AI-generated deliverables.

Ideal candidates have 3+ years in Fortune 500 environments, proven proficiency with Excel, PowerPoint and Word, and the ability to craft long-form prompts for AI tools. Strong written and verbal communication is essential.

Qualifications

Minimum 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 that require expert-level use of Excel, PowerPoint, and Word, mirroring tasks from your professional experience.
Engage in structured, multi-turn conversations with an LLM, presenting complex document-related prompts and evaluating AI-generated deliverables.
Create and review Office documents (.xlsx, .docx, .pptx), assessing two AI-generated solutions against professional standards and selecting the preferred output.
Document feedback and provide detailed, side-by-side preference data to inform AI model improvements, focusing on quality, accuracy, and business relevance.
Contribute domain‑specific insight across multiple industries and business functions, ensuring the data collected covers diverse, real‑world use cases.
Communicate clearly and thoughtfully in both written and verbal formats to ensure precise understanding and actionable feedback for the AI training team.