Management Consultant Talent Network

What you would do

• Design precise grading criteria for consulting deliverables such as market analyses, strategy recommendations, and financial models
• Score AI-generated and human work against established criteria using structured, evidence-based judgment
• Write detailed justifications for evaluations explaining specific strengths, weaknesses, and numerical scores
• Apply consistent standards across multiple submissions to ensure reproducibility and defensibility
• Receive feedback from senior reviewers and adjust evaluation approach to maintain calibration

Who they want

• 1+ years of professional management consulting experience from leading strategy or tier-one firms
• Strong command of structured problem-solving, market sizing, financial modeling, and strategy development
• Ability to articulate complex business concepts in clear, evidence-based written form
• Detail-oriented, consistent approach to evaluating sophisticated analytical work
• Willingness to receive feedback, adjust judgment, and maintain alignment with established standards

Main skills

What the interview asks about

1. 1.Evaluation criteria design

   Vague criteria lead to subjective, inconsistent scoring; precise standards enable reproducible evaluation.

   For example: “You must grade market sizing analyses. What criteria would you use to distinguish a strong analysis (10/10) from a weak one (5/10)? Include assumptions, data sources, and reasonableness checks.”

2. 2.Consistency in applying standards

   Consistency across submissions is essential for fair evaluation and detecting AI model performance trends.

   For example: “Two strategy recommendations arrive. Both identify the market opportunity but one is more concise and data-driven. How would you score each against your criteria and explain why the scores differ?”

3. 3.Written evaluation and justification

   Clear written feedback helps AI developers improve models; vague scores provide no actionable insight.

   For example: “You scored a financial model 6/10. Write a 100-word evaluation explaining what the model did well, what was missing, and what would raise the score to 8/10.”

4. 4.Recognizing sound analysis

   Evaluating AI work requires knowing what sound problem-solving looks like in strategy and finance.

   For example: “A submission recommends entering a new market with $50M revenue potential. The analysis shows the TAM is $2B but doesn't justify the $50M figure. What assumptions or work would you want to see?”

5. 5.Receiving and applying feedback

   AI evaluation standards require calibration; showing flexibility prevents score drift over time.

   For example: “A senior reviewer says you are scoring financial models too harshly on presentation and too leniently on assumption rigor. How would you adjust your next three evaluations?”

A task you may get

Design evaluation criteria for a market sizing deliverable (3-5 key criteria with scoring guidance), then score two sample analyses against your criteria with written justifications.

How to prepare

• Review 2-3 strategy reports or market sizing analyses from your portfolio or public sources to identify quality markers
• Develop a personal checklist of what you look for in strong strategy work, financial models, and business presentations
• Prepare two examples from your consulting background where you evaluated junior consultant work and calibrated with colleagues
• Practice writing concise, specific feedback that explains a score with evidence rather than general impressions

The facts

Pay

$60–100/hr

Hours

Part time

Where

Remote

Field

Business Operations

Role type

Talent network

Posted

2/27/2026

We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.