Description
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 **** — 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 launching aManagement Consulting domainfocused on translating real-world consulting engagements into structured learning environments for advanced AI systems.
To do this credibly, we are assemblinga team of strategy consultants from top-tier firmswho 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 growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important:This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.
If you do not have hands-on project experience at one of the firms listed below, please do not apply.
This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms:Mc Kinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C;), EY-Parthenon, Kearney, and Strategy& (Pw C).




Who We're Looking ForConsultants 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 DoBuild 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.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
Skills & Requirements3+ years at Mc Kinsey, 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+)CompensationOn this project, contributors can earn up to

📌 Strategy Consultant - Ai Training & Evaluation (Mbb & Top-Tier Firms) (El Salto)
🏢 Mindrift
📍 El Salto