Strategy Consultant - AI Training & Evaluation (MBB & Top-Tier Firms)
Skills
About This Role
Overview
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 a
Management Consulting domain
focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.
To do this credibly, we are assembling
a team of strategy consultants from top-tier firms
who 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:
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 3+ years of experience at one of the firms listed above, with hands-on project experience in:
- Structuring ambiguous client problems into workable analytical plans
- Building financial models, market analyses, or synthesized findings from messy inputs
- Producing client-ready deliverables under time pressure
- Forming and defending recommendations under uncertainty
- No deep technical background is required — we will onboard you on the lightweight tools involved.
What You'll Do
- Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information
- 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
- 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
- This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
Skills & Requirements
- 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
- Strong structured problem-solving and hypothesis-driven thinking
- Ability to translate vague problems into clear analytical steps and deliverables
- High attention to logical consistency and output quality
- Independent, self-directed working style
- Clear written English (B2+)
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