AI Consulting Domain Expert

What you would do

• Review AI-generated responses for accuracy, completeness, logical consistency, and business appropriateness
• Compose and refine analytical reports covering markets, strategy, business cases, and executive-level summaries with structured frameworks
• Develop language model prompts that elicit high-quality outputs through clear problem framing and task design
• Assess model performance using defined rubrics and identify patterns in failures or misalignment
• Deliver detailed written feedback and recommendations on AI capabilities and content suitability for specific use cases

Who they want

• 3+ years of experience in strategy consulting, management consulting, business transformation, or analytical operations roles
• Bachelor's degree required; Master's, MBA, JD, or PhD is a strong plus
• Demonstrated excellence in professional business writing and creating client-ready analyses for senior leadership
• Strong critical thinking, logical reasoning, and independent research capabilities
• Track record of building client presentations, recommendation memos, or structured market analyses

Main skills

What the interview asks about

1. 1.Distinguishing accurate from plausible-sounding AI outputs

   AI systems often produce fluent text that sounds authoritative but contains subtle errors; this role requires catching those lapses and explaining why they matter in business contexts.

   For example: “AI analysis: two competitors with similar revenue but opposite margins (12B/8% vs. 12B/15%). What's the error, and how would you feedback to the team?”

2. 2.Structuring business writing for executive audiences

   You author reports that drive decisions; demonstrating command of structure and business logic is essential for translating analysis into recommendations.

   For example: “AI provided market data for Southeast Asia but no synthesis. Walk through your structure: what goes in the executive summary, and what analysis leads to recommendation?”

3. 3.Prompt design and iterative refinement

   Prompt engineering is an emerging discipline within this role; you need to demonstrate systematic thinking about how problem framing shapes model outputs, not just ad-hoc tinkering.

   For example: “You're designing a prompt for an AI to analyze supply-chain disruption scenarios. Your first draft is vague; your second is overly prescriptive. What would the third version include to balance openness with necessary constraints?”

4. 4.Quality assurance rigor and consistency

   QA in this context means applying defined standards consistently, catching edge cases, and explaining decisions clearly; the role demands discipline and documentation.

   For example: “You're grading AI responses against a rubric that requires 'clear causal reasoning.' One response is detailed but speculative; another is brief but well-supported. How do you differentiate, and what feedback do you give for each?”

5. 5.Bridging consulting expertise and AI training data

   Your consulting background informs what realistic, high-quality business thinking looks like; the role depends on translating that judgment into training data that shapes model behavior.

   For example: “You worked at a strategy firm on a similar market-entry problem. Now you're designing an AI training scenario on the same topic. What elements of your consulting experience would you include to make the scenario realistic and useful for model training?”

A task you may get

Write a 200-word executive summary and recommendation for a business scenario (e.g., entering a market, optimizing operations, or responding to a competitive threat). Then evaluate a sample AI-generated analysis on the same scenario, noting strengths and gaps.

How to prepare

• Review 2-3 strategy consulting case studies or client examples (NDA-safe) to internalize structure and rigor standards
• Study prompt-engineering best practices and consider how different framings yield different model outputs
• Practice evaluating business writing: read executive summaries and identify which ones have clear logic, which bury recommendations, and why each choice matters
• Reflect on a past consulting project: what would high-quality training data for an AI model analyzing similar problems look like?

The facts

Pay

$100–200/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

Business Operations

Role type

Expert

Posted

8/4/2026

Places left

15

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