[Hiring] Freelance Management Consulting Partner @Mindrift

Role Description

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. We are now launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.

You will join a team of McKinsey and Bain consultants shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with MBB experience (McKinsey, BCG, or Bain). If you do not have direct experience at one of these firms, please do not apply. This requirement is non-negotiable and helps us ensure the domain is built by practitioners with firsthand MBB training and standards.

Qualifications

• Consultants with 3+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company.
• Hands-on project experience in:
  • Structuring ambiguous client problems
  • Building models and synthesized findings
  • Producing client-ready deliverables
  • Forming recommendations under uncertainty
• No deep technical background required; onboarding on lightweight tools involved.

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+)

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.

Benefits