$20–60/hr · micro1
Senior business professional who evaluates AI-generated Office documents and designs scenarios to train language models on complex document creation.
What you would do
- Design realistic multi-step business scenarios involving complex Excel, Word, and PowerPoint tasks
- Engage in structured conversations with LLMs, presenting detailed document-related prompts
- Review AI-generated Excel models, reports, and presentations for accuracy and professional quality
- Compare two AI solutions and evaluate which better meets professional standards
- Provide detailed, actionable feedback documenting preferences and quality gaps
Who they want
- Minimum 3+ years professional experience in Fortune 500 environments using Excel, PowerPoint, Word
- Demonstrated expertise creating complex models, reports, and analyses across finance, consulting, or similar roles
- Background in roles like private equity analyst, investment banker, consultant, or FP&A professional
- Proficiency designing scenarios across functions: strategy, operations, sales, marketing, finance, or HR
- Exceptional written and verbal communication with keen eye for detail and clarity
Main skills
What the interview asks about
1.Business scenario design
Crafting realistic scenarios ensures the AI training data reflects actual business challenges.
For example: “Design a scenario for an FP&A analyst who needs to model three revenue growth scenarios and compare their impact on operating margin by quarter.”
2.Complex model evaluation
Your judgment on model correctness and professional polish directly impacts AI training quality.
For example: “An AI-generated Excel model calculates cohort retention rates. What formula errors or calculation approaches would you flag as problematic?”
3.Document presentation standards
Understanding professional presentation norms across industries helps you evaluate AI outputs comprehensively.
For example: “Compare two AI-generated PowerPoint decks: one with animations and clip art, another with minimal formatting. Which would you prefer and why?”
4.LLM prompt engineering
Structuring prompts to elicit correct AI behavior is central to the evaluation role.
For example: “Write a multi-turn prompt sequence that progressively builds a financial model, testing whether an LLM maintains consistency across interactions.”
5.Cross-functional business knowledge
Your familiarity with workflows across industries enables you to spot domain-specific document gaps.
For example: “A healthcare finance scenario requires a cost accounting analysis. What specific Excel functionalities and business logic should the AI demonstrate?”
A task you may get
Design a realistic business scenario; create a multi-turn prompt sequence for an LLM; compare two simulated AI outputs; provide structured feedback documenting quality differences and preferred solution.
How to prepare
- Identify 2-3 complex spreadsheets or reports you've recently created; document their business purpose
- Prepare examples of document workflows in your function showing typical challenges and quality standards
- Reflect on poor or excellent document deliverables you've evaluated; articulate the differences
- Review the core Excel functions (VLOOKUP, INDEX/MATCH, data tables, pivot tables) and their common business uses
The facts
- Pay
- $20–60/hr
- Open to
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Field
- Other
- Role type
- Specialist
- Posted
- 7/28/2026
- Places left
- 100
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