[Hiring] Strategy Consultant - AI Training & Evaluation @Mindrift

Role Description

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

• 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.

Qualifications

• Consultants with 3+ years of experience at one of the firms listed below, 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.

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+)