Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

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+)