Python Game Developer (Panda3D)

**Pay:** $50-$120 per hour (USD). **Job Title:** Python Game Developer (Panda3D) **Job Type:** Contract **Location:** Remote **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:** • Design, develop, and optimize 3D game simulations and environments using Panda3D for AI training applications. • Collaborate with multidisciplinary teams to transform requirements into technical solutions. • Implement, maintain, and debug Python and C++ codebases integrated with Panda3D. • Contribute to version control workflows using GitHub to ensure smooth project collaboration. • Ensure cross-platform compatibility and performance across diverse hardware configurations. • Document architectural decisions, code, and processes clearly to support collaborative development. • Actively participate in code reviews, brainstorming sessions, and team meetings, emphasizing exceptional verbal and written communication. **Required Skills and Qualifications:** • Proven, hands-on experience developing with Panda3D—experience with similar engines does not substitute. • Advanced proficiency in Python and C++ programming languages. • Strong command of GitHub for code management, branching, and pull requests. • Deep understanding of 3D graphics pipelines, simulation logic, and cross-platform development. • Exceptional written and verbal communication skills—clear documentation and collaboration are critical. • Ability to work independently in a remote environment, meeting deadlines with minimal supervision. • Demonstrated attention to detail and a problem-solving mindset. **Preferred Qualifications:** • Prior game development experience for AI, simulation, or training purposes. • Familiarity with optimizing 3D assets for performance across a range of hardware. • Background in collaborative, distributed Agile environments.