Job Title

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka a leading enterprise AI and machine learning data partner since 2014 connects top domain experts with cuttingedge AI initiatives. Backed by Toloka''''s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how nextgeneration generative models learn, reason, and perform. We are now launching a Management Consulting domain focused on translating realworld consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are building a team of McKinsey, BCG, and Bain consultants who can convert authentic project experience into endtoend examples from problem structuring and work planning to analysis, synthesis, and clientready recommendations. You will join a team of McKinsey and Bain consultants shaping how AI learns highlevel 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 nonnegotiable and helps us ensure the domain is built by practitioners with firsthand MBB training and standards. Who We''''re Looking For Consultants with 3+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company. You should have handson project experience: Structuring ambiguous client problems Building models and synthesized findings Producing clientready 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 LLMbased grading system that evaluates AI outputs at scale This is a remote individualcontributor projectbased role focused on analytical design and evaluation. Skills & Requirements 3+ years at McKinsey, BCG, or Bain Strong structured problemsolving skills Ability to translate vague problems into clear analytical steps High attention to logical consistency Independent working style Clear written English (B2+) #J-18808-Ljbffr