Position Overview We are currently inviting applications for a Lifestyle Experience Consultant opportunity within our growing remote team. In this role, you'll assist clients as they explore and organize travel and lifestyle-focused experiences by helping coordinate arrangements, reviewing options, and keeping planning steps moving smoothly from start to confirmation. This flexible remote role is ideal for individuals who enjoy helping others create memorable experiences, staying organized across multiple planning details, and working independently in a supportive virtual environment. Training resources and continued team guidance are provided. Key Responsibilities - Connect with clients to understand their interests, priorities, and goals - Assist with coordinating travel-related services such as accommodations, activities, and transportation - Review available experience options using approved partner platforms - Provide timely updates regarding confirmations and scheduling progress - Respond to client inquiries through phone, email, and secure messaging systems - Support adjustments or service updates when needed - Maintain accurate documentation related to planning activity - Participate in onboarding sessions and ongoing development opportunities What This Opportunity Offers - Fully remote work environment - Flexible scheduling structure designed around independent workflow - Step-by-step onboarding with continued training support - Access to established planning systems and supplier partnerships - Eligibility for incentive programs and recognition opportunities - Opportunities to expand into advanced planning or advisory pathways Preferred Qualifications - Strong written and verbal communication skills - Reliable organization and attention to important details - Confidence working independently in a virtual environment - Comfort using online coordination tools and communication platforms - Experience in customer service, hospitality, scheduling, or administrative roles is helpful but not required - Must be at least 18 years of age - Applicants must be authorized to work within the United States, United Kingdom, Mexico, Australia, Spain, or approved hiring regions

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+)