Strategy Consultant - AI Training & Evaluation (MBB & Top-Tier Firms)

About Mindrift & Toloka AI

Mindrift, powered by Toloka, is a premier enterprise AI and machine learning data partner with a strong foundation dating back to 2014. We specialize in connecting top domain experts with pioneering AI initiatives. Leveraging Toloka's extensive experience in scalable data generation, crowd technology, and applied ML systems, Mindrift empowers experts to actively shape the learning, reasoning, and performance capabilities of next-generation generative models.

The Opportunity: Management Consulting Domain

We are establishing a specialized Management Consulting domain focused on transforming real-world consulting engagements into structured learning environments for advanced AI systems. To ensure authenticity and rigor, we are building a team comprised of strategy consultants from top-tier firms. Your role will be crucial in converting genuine project experience into comprehensive examples, covering everything from problem structuring and work planning to analysis, synthesis, and the delivery of client-ready recommendations.

You will join a dynamic team of consultants from leading strategy firms, playing a key part in shaping how AI acquires high-level business reasoning skills.

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 eligible firms listed below, please do not apply. This requirement is essential to ensure the domain is developed 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

We are seeking consultants with 3+ years of experience at one of the aforementioned top-tier firms, possessing hands-on project experience in:

• Structuring ambiguous client problems into actionable analytical plans.
• Building financial models, conducting market analyses, or synthesizing findings from complex, unstructured data.
• Producing client-ready deliverables under significant time pressure.
• Formulating and defending strategic recommendations in uncertain environments.

No deep technical background is required; comprehensive onboarding on the necessary lightweight tools will be provided.

What You’ll Do

• Build Realistic Consulting Project Environments: Create detailed project scenarios grounded in authentic engagement dynamics, including industry context, financial considerations, constraints, conflicting inputs, and incomplete information.
• Design Structured Consulting Tasks for AI Agents: Deconstruct projects into discrete tasks that accurately mirror real consulting work, such as market sizing, commercial due diligence, cost optimization, growth strategy development, operational diagnosis, and benchmarking.
• Define Evaluation Criteria and Quality Standards: Develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task. These will be instrumental in training and calibrating an LLM-based grading system designed to evaluate AI outputs at scale.

This is a remote, project-based, individual contributor role focused on analytical design and evaluation.

Skills & Requirements

• Minimum of 3 years of experience at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&.
• Strong capabilities in structured problem-solving and hypothesis-driven thinking.
• Demonstrated ability to translate vague problems into clear analytical steps and deliverables.
• High attention to logical consistency and output quality.
• An independent, self-directed working style.
• Clear written English proficiency (B2+ level).

Compensation

Contributors on this project can earn up to $60 per hour equivalent, with the final rate determined by their experience level and pace of contribution.

*Note: Compensation varies across projects based on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels.