Job Description
- 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.
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