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Create and assess board-game reasoning tasks, scenarios, decision trees, and rule-based datasets for AI training and evaluation. Review AI responses for correctness and reasoning quality, develop prompts and evaluation standards, identify errors, and collaborate with teams to improve datasets and assessment methods.
Responsibilities
- Create and review gameābased reasoning tasks that evaluate AI systems
- Analyze boardāgame scenarios, develop decision trees and ruleābased systems for dataset generation
- Evaluate AIāgenerated responses for correctness, logical consistency and reasoning quality
- Develop prompts, rubrics and evaluation guidelines for boardāgame tasks
- Identify logical errors and rule violations in AI outputs
- Collaborate with crossāfunctional teams to improve dataset quality and evaluation methodologies
Requirements
- Bachelorās degree in CS, mathematics, cognitive science, game design, philosophy, economics or related field
- Minimum two years of professional or semiāprofessional experience in boardāgame design, playātesting or tabletop communities
- Strong understanding of logic, probabilistic reasoning, game mechanics and complex rule systems
- Knowledge of game theory, behavioral economics, decision science or formal logic is a plus
- Excellent written communication for documenting evaluations and guidelines
Benefits
- Fully remote work from anywhere
- Competitive compensation
- Professional development opportunities
- Chance to contribute to pioneering AI research
Key Skills
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