Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation criteria with practitioners.  We are launching a management consulting domain and are seeking former McKinsey, BCG, or Bain consultants to translate real engagement work into end-to-end examples (workstreams and tasks) covering problem structuring, work planning, analysis, synthesis, and client-ready deliverables. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Participation does not create an employment relationship with Toloka or our clients. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & 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). - Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis. - Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. Skills & Requirements - 3+ years at McKinsey, BCG, or Bain - Strong structured problem-solving skills - Ability to translate vague problems into clear analytical steps - High attention to logical consistency - Independent working style - Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation criteria with practitioners.  We are launching a management consulting domain and are seeking former McKinsey, BCG, or Bain consultants to translate real engagement work into end-to-end examples (workstreams and tasks) covering problem structuring, work planning, analysis, synthesis, and client-ready deliverables. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Participation does not create an employment relationship with Toloka or our clients. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & 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). - Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis. - Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. Skills & Requirements - 3+ years at McKinsey, BCG, or Bain - Strong structured problem-solving skills - Ability to translate vague problems into clear analytical steps - High attention to logical consistency - Independent working style - Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation criteria with practitioners.  We are launching a management consulting domain and are seeking former McKinsey, BCG, or Bain consultants to translate real engagement work into end-to-end examples (workstreams and tasks) covering problem structuring, work planning, analysis, synthesis, and client-ready deliverables. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Participation does not create an employment relationship with Toloka or our clients. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & 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). - Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis. - Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. Skills & Requirements - 3+ years at McKinsey, BCG, or Bain - Strong structured problem-solving skills - Ability to translate vague problems into clear analytical steps - High attention to logical consistency - Independent working style - Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation criteria with practitioners.  We are launching a management consulting domain and are seeking former McKinsey, BCG, or Bain consultants to translate real engagement work into end-to-end examples (workstreams and tasks) covering problem structuring, work planning, analysis, synthesis, and client-ready deliverables. This is a remote individual-contributor project-based role focused on analytical design and evaluation. Participation does not create an employment relationship with Toloka or our clients. Who We’re Looking For Consultants with 3+ years of experience at McKinsey & 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). - Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis. - Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. Skills & Requirements - 3+ years at McKinsey, BCG, or Bain - Strong structured problem-solving skills - Ability to translate vague problems into clear analytical steps - High attention to logical consistency - Independent working style - Clear written English (B2+)