Public summary
Join a remote freelance project to develop domain-specific reinforcement learning environments and evaluation frameworks tailored to management consulting. The role involves designing detailed project scenarios based on authentic consulting engagements from top-tier firms to enhance AI learning in business reasoning. Candidates must have 3+ years experience at leading strategy consulting firms such as McKinsey, BCG, Bain, and others, with strong structured problem-solving skills and the ability to produce client-ready analytical deliverables.
Responsibilities
Develop realistic consulting project environments incorporating industry context and incomplete information. Design structured tasks for AI agents reflecting real consulting work like market sizing, due diligence, and cost optimization. Define evaluation criteria and quality standards including grading frameworks to calibrate AI output. Work independently in a remote, project-based role focused on analytical design and evaluation.
Qualifications
Minimum 3 years of direct experience at a top-tier strategy consulting firm (e.g., McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, Strategy&). Proven ability in structuring ambiguous problems, conducting financial and market analyses, delivering client-ready outputs under pressure, and forming substantiated recommendations. Strong problem-solving and hypothesis-driven thinking skills. Fluent written English (B2+) required. No deep technical background needed; training on tools provided.