About the role
Toloka AI is at the forefront of advancing AI technology by creating domain-specific reinforcement learning environments, tasks, and evaluation frameworks meticulously crafted by industry professionals.
Our initiative, Mindrift, powered by Toloka, a preeminent AI and machine learning data partner since 2014, bridges top-tier domain experts with innovative AI projects. Leveraging Toloka’s extensive knowledge in scalable data generation, crowd technology, and applied ML systems, Mindrift empowers experts to influence how next-gen generative models learn, reason, and execute.
We are excited to unveil a new Management Consulting domain dedicated to transforming genuine consulting engagements into structured learning environments for advanced AI systems. To achieve this, we are curating a team of seasoned strategy consultants from leading firms who can translate authentic project experiences into comprehensive examples, covering everything from problem structuring and work planning to analysis, synthesis, and delivering client-ready recommendations.
Join our dynamic team of consultants from prestigious strategy firms as we redefine how AI acquires high-level business reasoning skills.
Important: This role is strictly for consultants with direct experience at recognized top-tier strategy consulting firms. Applications from candidates without hands-on project experience at the firms listed below will not be considered. This requirement ensures that our domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Who We’re Looking For
Consultants with a minimum of 3 years of experience at one of the firms mentioned above, with practical project experience in:
- Structuring complex client problems into actionable analytical plans
- Developing financial models, conducting market analyses, or synthesizing findings from disorganized inputs
- Delivering client-ready outputs under tight deadlines
- Formulating and defending recommendations amidst uncertainty
No advanced technical expertise is necessary, training will be provided for the lightweight tools involved.
Your Responsibilities
- Create realistic consulting project environments , develop detailed project scenarios rooted in genuine engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
- Design structured consulting tasks for AI agents , decompose projects into discrete tasks that reflect actual consulting activities: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
- Establish evaluation criteria and quality standards , craft grading frameworks to ensure the accuracy and excellence of generated outputs.
