Note: The job is a remote job and is open to candidates in USA. Mindrift, powered by Toloka, is a leading enterprise AI and machine learning data partner focused on connecting top domain experts with cutting-edge AI initiatives. The role involves building domain-specific reinforcement learning environments and structured consulting tasks for AI agents to enhance their learning and evaluation processes.
Responsibilities
- 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
Skills
- 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+)
Company Overview
Mindrift is a company and a global leader in data services for AI. It was founded in undefined, and is headquartered in , with a workforce of 501-1000 employees. Its website is https://mindrift.ai.