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 aManagement Consulting domainfocused on translating real‑world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assemblinga team of strategy consultants from top‑tier firmswho can convert authentic project experience into end‑to‑end examples — from problem structuring and work planning to analysis, synthesis, and client‑ready recommendations.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.Eligible firms:Mc Kinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C;), EY-Parthenon, Kearney,



and Strategy& (Pw C).Who We're Looking ForStructuring ambiguous client problems into workable analytical plansBuilding financial models, market analyses, or synthesized findings from messy inputsProducing client‑ready deliverables under time pressureForming and defending recommendations under uncertaintyWhat You'll DoBuild realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete informationDesign 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 moreDefine 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 scaleSkills & Requirements3+ years at Mc Kinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&Strong; structured problem‑solving and hypothesis‑driven thinkingAbility to translate vague problems into clear analytical steps and deliverablesHigh attention to logical consistency and output qualityIndependent, self‑directed working styleClear written English (B2+)CompensationOn this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of pensation 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.

📌 Ex-Mbb Strategy Consultant - Ai Training (Remote) (Madrid)
🏢 Mindrift
📍 Madrid