Board Game Reasoning Expert (AI Training & Evaluation)
Remote contractor role for board game and strategy experts who create, review, and evaluate reasoning tasks for AI systems, focusing on game mechanics, strategic decision-making, probability, complex rule systems, and logical reasoning.
About this opportunity
Turing is seeking Board Game Reasoning Experts to help train and evaluate next-generation AI models. The role involves using expertise in board games, game mechanics, strategic reasoning, probability, and complex rule systems to create, review, and evaluate high-quality datasets. Experts will work on tasks involving game logic, decision-making, strategic planning, rule interpretation, and scenario analysis to help improve the reasoning capabilities of frontier AI systems.
What the listing describes
- Create and review game-based reasoning tasks designed to evaluate AI systems
- Analyze board game scenarios, strategic decision trees, and rule-based systems
- Evaluate AI-generated responses for correctness, consistency, and reasoning quality
- Develop prompts for board game and strategy-focused reasoning tasks
- Create rubrics and evaluation guidelines for game-based AI assessments
- Identify logical errors, rule violations, and flawed reasoning in AI-generated outputs
- Analyze strategic decision-making scenarios involving complex game mechanics
- Apply probability and logical reasoning to evaluate proposed game strategies and outcomes
- Contribute to benchmark creation for AI reasoning and evaluation projects
- Support quality assurance processes for AI training and evaluation datasets
- Collaborate with project teams to improve dataset quality and evaluation methodologies
Requirements shown on the source
- Bachelor’s degree in Computer Science, Mathematics, Cognitive Science, Game Design, Philosophy, Economics, or a related analytical field
- At least 2 years of professional or semi-professional experience in board game design, playtesting, tabletop game communities, or related strategy-focused environments
- Strong understanding of logic and probabilistic reasoning
- Strong understanding of game mechanics and complex rule systems
- Background in game theory, behavioral economics, decision science, formal logic, or a related analytical discipline
- Familiarity with modern board games, trading card games (TCGs), tabletop RPGs, strategy games, or competitive game systems
- Strong analytical and problem-solving skills
- Excellent written communication skills
- Ability to analyze complex game scenarios and strategic decision trees
- Ability to consistently interpret and apply detailed game rules
- Ability to evaluate AI-generated reasoning for correctness and logical consistency
- Ability to work independently in a remote environment
- Availability for at least 4 hours per day and a minimum of 20 hours per week
- Ability to provide 4 hours of overlap with PST working hours
Relevant backgrounds mentioned
- Prior experience in data annotation
- Experience with AI training or evaluation
- Experience with prompt engineering
- Experience in quality assurance
- Experience with game design or puzzle design
- Experience analyzing rules-based systems
- Experience creating evaluation rubrics
- Experience creating benchmark datasets
- Experience developing quality assurance frameworks
- Experience with Python, SQL, or data analysis tools
- Experience working on RLHF projects
- Experience with AI model evaluation
- Experience with synthetic data generation
- Experience with LLM benchmarking projects
- Familiarity with recently released strategy or tabletop games
- Ability to quickly learn and analyze new game rule systems
Details to verify before applying
- Country eligibility
- Not specified in the source page reviewed. Check the current listing before applying.
- Compensation
- No pay rate was stated on the source page reviewed.
- Last checked
Source and current details
Our summary is not the full job description. Review the external listing for the latest requirements, terms and application process.
Open the source listing on Turing