Strategy Consultant - AI Training & Evaluation (Freelance, Remote)

Company Overview

• Mindrift, powered by Toloka, is a leading enterprise AI and machine learning data partner since 2014.
• We connect top domain experts with cutting-edge AI initiatives, enabling them to shape how next-generation generative models learn, reason, and perform.
• Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Management Consulting Domain Launch

• We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.
• 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 Eligibility Requirement

• 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+)

Compensation

• On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
• Compensation 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.