Strategy Consultant (AI Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Strategy Consultant (AI Engineering): Building and designing structured reinforcement learning environments for generative AI with an accent on translating real-world strategy consulting projects into LLM training tasks. Focus on defining evaluation frameworks, grading rubrics, and high-level business reasoning scenarios based on top-tier strategy firm methodologies.
Company
is an enterprise AI partner powered by Toloka, connecting domain experts with cutting-edge generative AI initiatives to shape model reasoning and performance.
What you will do
- Build realistic consulting project environments grounded in real engagement dynamics and industry context.
- Design structured consulting tasks for AI agents including market sizing, commercial due diligence, and operational diagnosis.
- Develop grading frameworks, evaluation rubrics, and golden-answer solutions to train and calibrate AI-based grading systems.
- Translate ambiguous client problems into clear analytical plans and deliverables.
- Ensure logical consistency and high output quality in all training materials.
Requirements
- 3+ years of experience at a top-tier strategy consulting firm (McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&).
- Proven hands-on project experience in problem structuring, financial modeling, and synthesis of complex findings.
- Strong structured problem-solving and hypothesis-driven thinking abilities.
- English: B2+ proficiency required for clear written communication.
- Ability to produce client-ready deliverables independently under time pressure.
Culture & Benefits
- Fully remote, project-based work arrangement providing flexibility for independent contributors.
- Opportunity to shape the reasoning capabilities of next-generation generative models.
- Collaborative environment with peers from leading global strategy firms.
- Focus on high-level analytical design without requiring deep technical coding skills.
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