As a Cross-Platform Game Programmer, you will leverage your expertise to contribute to the training of next-generation AI systems. Your role will involve creating high-quality, real-world input that shapes how AI models learn, reason, and perform, without requiring prior experience in AI. Key Responsibilities:

• Create detailed and realistic AI training prompts simulating complex game development scenarios, including sprite management, physics, animations, scene transitions, UI elements, and core game logic.
• Develop robust evaluation rubrics to assess AI-generated solutions and ensure industry-standard quality.
• Execute and validate tasks created by yourself and other experts within a sophisticated virtual environment.
• Utilize the Cocos2d-x engine’s scene graph, action system, and asset management capabilities to maximize training fidelity.
• Collaborate remotely with other domain experts, sharing written and verbal insights to continually refine processes and benchmarks.
• Document workflows, best practices, and findings in a clear, articulate manner to support AI system learning and the team knowledge base.
• Participate in reviews and provide constructive feedback on peer-created tasks and AI outputs.

Qualifications:

• Expert-level proficiency in C++ and strong command of the Cocos2d-x game engine.
• Proven experience authoring or executing game logic involving graphics, physics, or UI in cross-platform environments.
• Exceptional written and verbal communication skills, with attention to clarity and detail.
• Demonstrated ability to work autonomously in a remote, geographically distributed team setting.
• Solid understanding of game engine architecture, asset pipelines, and optimization techniques.
• Experience building or applying evaluation rubrics for technical work.
• Commitment to high-quality code, documentation, and knowledge sharing.

Preferred Qualifications:

• Familiarity with Lua or JavaScript bindings in Cocos2d-x.
• Background in AI/ML data creation, validation, or training task design.
• Experience with collaborative virtual R&D environments or simulation platforms.

Work Terms: This is a contract position with remote work flexibility. Compensation: Hourly pay ranges from $20 to $120, based on experience and qualifications. Eligibility: Open to candidates with the required skills and experience, regardless of location.