Excel Specialist

Job Overview

We are seeking an Excel Specialist for a contract role to work remotely. The position involves designing and simulating complex business scenarios using Microsoft Excel, PowerPoint, and Word that replicate professional business challenges.

Key Responsibilities

• Develop and model intricate business cases requiring expert proficiency in Excel, PowerPoint, and Word.
• Engage in structured, multi-turn dialogues with large language models (LLMs), presenting sophisticated document-based tasks and assessing AI-generated outputs.
• Create, review, and evaluate Office files (.xlsx, .docx, .pptx) by comparing two AI-generated solutions, selecting the one meeting professional standards.
• Provide detailed, side-by-side feedback on preferences to improve AI models focusing on document quality, precision, and business relevance.
• Offer domain-specific knowledge spanning multiple industries and business sectors to ensure diverse, real-world use cases are covered.
• Communicate feedback clearly and thoroughly in both written and oral forms to facilitate actionable insights for AI training.

Preferred Qualifications

• At least three years of professional experience in Fortune 500 companies using Excel, PowerPoint, and Word for high-impact business projects.
• Proven ability to develop complex models, reports, analyses, and presentations across industries such as finance, healthcare, technology, consulting, or retail.
• Background in business roles like private equity associate, investment banking analyst, junior consultant, FP&A analyst, HR, or marketing strategist with direct project involvement.
• Skilled in crafting use cases relevant to functions including strategy, operations, sales, marketing, finance, and human resources.
• Excellent written and verbal communication skills emphasizing clarity and attention to detail in delivering feedback.
• Experience with large language models or composing extended AI tool prompts is advantageous.
• Strong analytical abilities to discern subtle differences in document quality and applicability to business contexts.