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Python Game Developer (Panda3D)

$50 - $120/hr Worldwide Remote · worldwide coding Contract / freelance
Pay rate · $50 - $120/hr
  • Job Description
  • Python Game Developer (Panda3D)
  • Contract
  • 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.
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