Strategy Consultant - AI Training&Evaluation (MBB&Top-Tier Firms)

<div><h3>Overview</h3><p>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 cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform. We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p><p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning. Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p><p><b>Eligible firms:</b>McKinsey&Company, Boston Consulting Group (BCG), Bain&Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy&(PwC).</p><h3>Who We’re Looking For</h3><p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p><ul><li>Structuring ambiguous client problems into workable analytical plans</li><li>Building financial models, market analyses, or synthesized findings from messy inputs</li><li>Producing client-ready deliverables under time pressure</li><li>Forming and defending recommendations under uncertainty</li></ul><p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p><h3>What You’ll Do</h3><ul><li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li><li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li><li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li><li>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</li></ul><h3>Skills&Requirements</h3><ul><li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li><li>Strong structured problem-solving and hypothesis-driven thinking</li><li>Ability to translate vague problems into clear analytical steps and deliverables</li><li>High attention to logical consistency and output quality</li><li>Independent, self-directed working style</li><li>Clear written English (B2+)</li></ul></div>#J-18808-Ljbffr