<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br/><br/>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.<br/><br/>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.<br/><br/>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br/><br/><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.<br/><br/><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).<br/><br/><strong>Who We're Looking For<br/><br/></strong>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:<br/><br/><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<br/><br/></li></ul>No deep technical background is required — we will onboard you on the lightweight tools involved.<br/><br/><strong>What You'll Do<br/><br/></strong><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<br/><br/></li></ul>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br/><br/><strong>Skills &amp; Requirements<br/><br/></strong><ul><li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp;</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+)<br/><br/></li></ul><strong>Compensation<br/><br/></strong>On this project, contributors can earn up to <strong>$60 per hour equivalent</strong>, depending on their level and pace of contribution.<br/><br/>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. </div>