Management Consulting Domain Expert (AI Post-Training)

About Toloka AI & Mindrift

Toloka AI supports frontier model post-training by developing domain-specific reinforcement learning environments, tasks, and evaluation frameworks crafted by real practitioners. 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, leveraging Toloka's extensive experience in scalable data generation, crowd technology, and applied ML systems to empower experts in shaping next-generation generative models.

We are launching a Management Consulting domain focused on transforming authentic consulting engagements into structured learning environments for advanced AI systems. To achieve this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert their project experience into end-to-end examples, covering problem structuring, work planning, analysis, synthesis, and client-ready recommendations.

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

Important Note: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm (McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC)). Applicants without hands-on project experience at one of these specified firms should not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

What You'll Do:

• Build Realistic Consulting Project Environments: Create detailed project scenarios grounded in real engagement dynamics, including industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design Structured Consulting Tasks for AI Agents: Break down complex projects into discrete tasks that mirror actual consulting work, such as market sizing, commercial due diligence, cost optimization, growth strategy, 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 used to train and calibrate an LLM-based grading system for evaluating AI outputs at scale.

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

Who We're Looking For:

Consultants with 3+ years of experience at one of the eligible top-tier firms listed above, demonstrating hands-on project experience in:

• Structuring ambiguous client problems into actionable analytical plans.
• Building financial models, conducting market analyses, or synthesizing findings from complex data.
• Producing client-ready deliverables under significant time pressure.
• Forming and defending recommendations in situations of uncertainty.

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

Skills & Requirements:

• 3+ years of experience at McKinsey & Company, BCG, Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&.
• Strong capabilities in 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+ proficiency).

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 based on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels.