About the job
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.

