- Build realistic consulting project environments: create detailed project scenarios (industry context, financials, constraints, incomplete information);
- Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis;
- Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.
- 3+ years at McKinsey, BCG, or Bain;
- Strong structured problem-solving skills;
- Ability to translate vague problems into clear analytical steps;
- High attention to logical consistency;
- Independent working style;
- Clear written English (B2+).