Ex-MBB Strategy Consultant - AI Training (Remote)
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Key skills for this role
About the Role
Mindrift is seeking ex-MBB strategy consultants to build realistic consulting project environments and design structured tasks for AI training. This remote, project-based role involves creating detailed project scenarios, evaluation criteria, and grading frameworks for advanced AI systems.
Key Skills for This Role
Responsibilities
- Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics
- Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work
- Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden answer solutions for each task
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+)
Full Job Posting
About the Role
- 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.
- 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.
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
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.
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