Freelance senior consultant
Pubblicato il 04-10-2026 - Mindrift in Italia
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. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next‐generation generative models learn, reason, and perform.
We are now launching a Management Consulting domain focused on translating real‐world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are building a team of former Mc Kinsey, BCG, and Bain consultants who can convert authentic project experience into end‐to‐end examples — from problem structuring and work planning to analysis, synthesis, and client‐ready recommendations. You will join a team of ex‐Mc Kinsey and Bain consultants shaping how AI learns high‐level business reasoning.
Important:
This role is exclusively for consultants with MBB experience (Mc Kinsey, BCG, or Bain). If you do not have direct experience at one of these firms, please do not apply. This requirement is non‐negotiable and helps us ensure the domain is built by practitioners with firsthand MBB training and standards.
Who We're Looking For
Consultants with 3+ years of experience at Mc Kinsey & Company, Boston Consulting Group, or Bain & Company. You should have hands‐on project experience: Structuring ambiguous client problems Building models and synthesized findings Producing client‐ready deliverables Forming recommendations under uncertainty No deep technical background required, we'll onboard you on the lightweight tools involved.
What You'll Do
Build realistic consulting project environments: create detailed project scenarios (industry context, financials, constraints, incomplete information) De