<p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. </p><p><a href="https://himalayas.app/companies/mindrift">Mindrift</a>, 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, <a href="https://himalayas.app/companies/mindrift">Mindrift</a> enables experts to shape how next-generation generative models learn, reason, and perform.</p><p>We are launching a <strong>Management Consulting domain</strong> focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling <strong>a team of strategy consultants from top-tier firms</strong> 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.</p><p><strong>Important: </strong>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><strong>Eligible firms:</strong> McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).</p><h3><strong>Who We’re Looking For</strong></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><strong>What You’ll Do</strong></h3><ul><li><strong>Build realistic consulting project environments</strong> — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li><li><strong>Design structured consulting tasks for AI agents </strong>— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, an