MBB Consultant - AI Consulting Simulation & Evaluation

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation criteria with practitioners. We are launching a management consulting domain and are seeking former McKinsey, BCG, or Bain consultants to translate real engagement work into end-to-end examples (workstreams and tasks) covering problem structuring, work planning, analysis, synthesis, and client-ready deliverables. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Participation does not create an employment relationship with Toloka or our clients. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company. You should have hands-on project experience: • Structuring ambiguous client problems • Building models and synthesized findings • Producing client-ready deliverables • Forming recommendations under uncertainty No deep technical background required, we'll onboard you on the lightweight tools involved. What You’ll Do • 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. Skills & Requirements • 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+) Apply tot his job Apply To this Job