2

Remote Environmental Sampling Jobs in Kentucky (NOW HIRING)

General Product Manager

Louisville, KY · On-site +1

$100K - $150K/yr

Quality & Testing: Ensure product excellence through rigorous sampling, testing, and factory ... Flexible work environment (remote or office-based). * Paid vacation, sick time, and holidays.

General Product Manager

Louisville, KY · On-site +1

$100K - $150K/yr

Quality & Testing: Ensure product excellence through rigorous sampling, testing, and factory ... Flexible work environment (remote or office-based). * Paid vacation, sick time, and holidays.

Remote Environmental Sampling information

What is the difference between Remote Environmental Sampling vs Remote Environmental Monitoring?

AspectRemote Environmental SamplingRemote Environmental Monitoring
Primary FocusCollecting physical samples from environmentsObserving and analyzing environmental data remotely
Required SkillsSampling techniques, safety protocols, basic lab skillsData analysis, sensor operation, reporting
Work EnvironmentField sites, laboratories, remote locationsOffice, control centers, remote data systems
CertificationsEnvironmental sampling certifications, safety trainingData analysis, environmental monitoring certifications

Remote Environmental Sampling involves physically collecting samples from various environments, while Remote Environmental Monitoring focuses on analyzing environmental data remotely using sensors and software. Both roles require environmental knowledge, but sampling emphasizes fieldwork, whereas monitoring emphasizes data analysis and system management.

What cities in Kentucky are hiring for Remote Environmental Sampling jobs? Cities in Kentucky with the most Remote Environmental Sampling job openings:
Associate Game Developer (Panda3D) - Remote

Associate Game Developer (Panda3D) - Remote

micro1 AI

Louisville, KY • Remote

$20 - $70/hr

Part-time

Posted 12 days ago


Job description

Job Title: Junior Python Game Developer (Panda3D)


Job Type: Contractor


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:

  1. Leverage your proficiency in Python and C++ to provide insights and feedback on interactive game development tasks.
  2. Utilize the Panda3D engine to review, critique, and suggest improvements on code samples and game logic.
  3. Contribute domain-specific examples to help enhance AI understanding of modern game development workflows.
  4. Analyze and address practical challenges in game rendering, asset management, and gameplay mechanics.
  5. Document and explain decision-making processes in a clear, concise manner for AI training purposes.
  6. Collaborate with a distributed team to deliver high-quality, real-world input that shapes future AI technologies.
  7. Participate in iterative feedback cycles to continuously improve AI learning outcomes.



Required Skills and Qualifications:

  1. Solid hands-on experience with Python programming, especially in game development contexts.
  2. Strong understanding of the Panda3D engine and its practical application in creating interactive 3D environments.
  3. Familiarity with C++ and its integration within game engines.
  4. Proficient in using GitHub for version control, code reviews, and collaboration.
  5. Ability to communicate complex technical concepts clearly and effectively.
  6. Meticulous attention to detail and problem-solving mindset.
  7. Self-motivated and comfortable working independently in a remote setting.



Preferred Qualifications:

  1. Previous experience contributing to open-source projects or AI-related initiatives.
  2. Knowledge of modern software development practices and pipelines in game development.



Additional Info:

This is a unique opportunity for a junior developer to gain experience while supporting the training of advanced AI systems. You'll collaborate with the customer's team and contribute directly to shaping how AI understands and interacts with real-world gaming environments.