Excel Specialist - Remote

Job Description

Role Title: Excel Specialist

Role Type: Contract

Location: Remote

Scope of Work:

• 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.

Preferred Qualifications:

• Minimum 3+ years of professional experience working 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 various 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 involvement in 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.