Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
Leverage your proficiency in Python and C++ to provide insights and feedback on interactive game development tasks.
Utilize the Panda3D engine to review, critique, and suggest improvements on code samples and game logic.
Contribute domain-specific examples to help enhance AI understanding of modern game development workflows.
Analyze and address practical challenges in game rendering, asset management, and gameplay mechanics.
Document and explain decision-making processes in a clear, concise manner for AI training purposes.
Collaborate with a distributed team to deliver high-quality, real-world input that shapes future AI technologies.
Participate in iterative feedback cycles to continuously improve AI learning outcomes.
Required Skills and Qualifications:
Solid hands-on experience with Python programming, especially in game development contexts.
Strong understanding of the Panda3D engine and its practical application in creating interactive 3D environments.
Familiarity with C++ and its integration within game engines.
Proficient in using GitHub for version control, code reviews, and collaboration.
Ability to communicate complex technical concepts clearly and effectively.
Meticulous attention to detail and problem-solving mindset.
Self-motivated and comfortable working independently in a remote setting.
Preferred Qualifications:
Previous experience contributing to open-source projects or AI-related initiatives.
Knowledge of modern software development practices and pipelines in game development.