• Oversee sign and lighting service and repair projects from initiation through completion • Gather detailed site and client information • Define repair scopes • Identify, negotiate with, and manage qualified subcontractors nationwide • Ensure all service projects are completed on time, within scope, and within approved budgets • Develop and manage project budgets related to repair labor, materials, equipment, and subcontracted services • Coordinate and oversee the full-service lifecycle • Maintain compliance with account-specific service level agreements (SLAs) • Provide frequent status updates • Serve as the primary point of contact for clients and stakeholders • Anticipate and adapt to changing customer requirements • Deliver consistent, high-quality customer service • Establish and maintain strong working relationships with service vendors, electricians, installers, and other repair partners • Create and maintain accurate service documentation • Apply analytical and creative problem-solving skills to diagnose service issues

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 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 assembling a team of strategy consultants from top-tier firms 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 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: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC). Who We’re Looking For Consultants 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 Do - Build 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 & Requirements - 3+ years at McKinsey, 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+)

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 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 assembling a team of strategy consultants from top-tier firms 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 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: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC). Who We’re Looking For Consultants 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 Do - Build 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 & Requirements - 3+ years at McKinsey, 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+)

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 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 assembling a team of strategy consultants from top-tier firms 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 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: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC). Who We’re Looking For Consultants 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 Do - Build 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 & Requirements - 3+ years at McKinsey, 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+)