The Work
You will create and review tasks that test how well AI systems reason through board games and other strategy-focused scenarios. Your work will turn game knowledge, logic, and rule analysis into prompts, benchmarks, and clear evaluation standards.
- Analyze board game scenarios, strategic decision trees, probability, game mechanics, and complex rule systems.
- Evaluate AI-generated answers for correctness, consistency, rule violations, logical errors, and reasoning quality.
- Create prompts, rubrics, benchmarks, and evaluation guidelines for board game and strategy tasks.
- Support quality assurance for AI evaluation datasets and help improve evaluation methods.
- Review game logic and contribute to better dataset quality with project teams.
What It Pays And Takes
The source does not provide a pay rate. The role is listed as an entry-level contract position with a commitment of at least 20 hours per week.
- Pay: Not provided in the listing.
- Hours: 20 or more hours per week.
- Location: Open worldwide.
- Education: A bachelor's degree in computer science, mathematics, cognitive science, game design, philosophy, economics, or a related analytical field.
- Experience: At least two years of professional or semi-professional experience in board game design, playtesting, tabletop communities, or related strategy-focused settings.
- Skills: Strong knowledge of logic, probabilistic reasoning, game mechanics, and complex rule systems.
- Useful background: Game theory, behavioral economics, decision science, formal logic, data annotation, AI training, prompt engineering, quality assurance, game or puzzle design, evaluation rubrics, benchmark datasets, or rules-based system analysis.
- Additional tools and methods that may help include RLHF, model evaluation, synthetic data generation, LLM benchmarking, Python, SQL, and data analysis tools.
- Communication: Strong analytical, problem-solving, and written communication skills.
- Game experience: Familiarity with modern board games, trading card games, tabletop role-playing games, strategy games, or competitive game systems is valuable.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a platform where people find AI training and data-labeling work, build a profile, and start applications.
About AI Training Work
AI training is the human work behind systems that learn from examples. Contributors create, review, and rate content so AI models can produce more accurate and useful results, and people with specialized reasoning skills help evaluate difficult tasks.