Board Game Reasoning Expert - AI Model Training & Evaluation

millionlogics • India
Remote
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AI Summary

Train & evaluate next-gen AI models using board game expertise. Create, review, & evaluate datasets. Collaborate with teams. Fully remote, 12-month contract.

Key Highlights
Leverage board game expertise to improve AI performance
Work on cutting-edge AI projects with leading LLM companies
Collaborate with project teams to improve dataset quality
Key Responsibilities
Create and review game-based reasoning tasks
Analyze board game scenarios and strategic decision trees
Evaluate AI-generated responses for correctness and reasoning quality
Develop prompts, rubrics, and evaluation guidelines
Contribute to benchmark creation and quality assurance processes
Technical Skills Required
Board Game Design/Playtesting Probabilistic Reasoning Complex Rule Systems
Benefits & Perks
Fully Remote
12-month contract
Nice to Have
Experience in data annotation, AI training, or prompt engineering
Familiarity with Python, SQL, or data analysis tools
Experience working on RLHF, model evaluation, or LLM benchmarking projects

Job Description


Company Description

MillionLogics, a trusted Oracle Partner, is a global leader in IT solutions, combining innovation, expertise, and strategic vision. With headquarters in London, UK, and a development hub in Hyderabad, India, MillionLogics leverages global business acumen and top-tier technical talent to deliver transformative IT services. The company specialises in Data & AI, Cloud Solutions, IT Consulting, Database Services, and Security & Architecture, with a strong focus on Oracle Cloud and database technologies. Backed by a team of over 80+ technology experts, MillionLogics is dedicated to delivering smart, scalable, and tailored solutions that drive measurable outcomes. Learn more about its services and leadership at MillionLogics.com


Role Overview

We are seeking Board Game Reasoning Experts to help train and evaluate next-generation AI models. In this role, you will leverage your expertise in board games, game mechanics, strategic reasoning, probability, and complex rule systems to create, review, and evaluate high-quality datasets that improve AI performance.

You will work on challenging tasks involving game logic, decision-making, strategic planning, rule interpretation, and scenario analysis, helping frontier AI systems develop stronger reasoning capabilities.


Offer Details:

  • Duration of Contract: 12 months
  • Pay: $150 / task upon approval
  • Mode of work: Fully Remote.
  • .Evaluation Process: Take home Assessment
  • Number of Positions: 18
  • Experience: 2+years


What Does Day-to-Day Look Like?

  • 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, rubrics, and evaluation guidelines for board game and strategy-focused tasks.
  • Identify logical errors, rule violations, and flawed reasoning in AI outputs.
  • Contribute to benchmark creation and quality assurance processes for AI evaluation projects.
  • Collaborate with project teams to improve dataset quality and evaluation methodologies.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.


Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Cognitive Science, Game Design, Philosophy, Economics, or a related analytical field.
  • 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, probabilistic reasoning, game mechanics, and complex rule systems.
  • Background in game theory, behavioral economics, decision science, or formal logic.
  • 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.


Preferred Qualifications

  • Prior experience in data annotation, AI training, prompt engineering, QA, game design, puzzle design, or rules-based system analysis.
  • Experience creating evaluation rubrics, benchmark datasets, or quality assurance frameworks.
  • Experience with Python, SQL, or data analysis tools.
  • Experience working on RLHF, model evaluation, synthetic data generation, or LLM benchmarking projects.
  • Familiarity with recently released strategy or tabletop games and the ability to quickly learn new rule systems.


  • Additional Details :
  • Commitments Required: 8 hours per day and 40 hours per week with overlap of 4 hours per day with PST.
  • Engagement type : Contractor assignment (no medical/paid leave)
  • Duration of contract : 12 months; [expected start date is next week]


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