Junior Game Developer (Java / libGDX)
Micro1 • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$70/task
Posted
0d ago
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About this Role
Job Title: Junior Game Developer (Java / libGDX) Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Junior Game Developer focusing on Java and libGDX technologies for AI training initiatives. This is an exciting opportunity to develop and enhance interactive game modules while collaborating with AI experts to create impactful data-driven solutions. Grow your skills in a supportive environment where your passion for both gaming and code will drive innovation. Key Responsibilities: Develop, maintain, and optimize simple 2D game features using Java and libGDX frameworks. Collaborate closely with AI specialists to design engaging game interactions and collect high-quality training data. Implement basic game mechanics including sprite management, game loops, and input handling. Troubleshoot and debug code to ensure optimal performance and reliability of game modules. Participate in code reviews and contribute to the improvement of internal coding standards. Document technical processes and game development workflows clearly for cross-functional teams. Communicate effectively with team members, providing regular status updates and seeking feedback. Required Skills and Qualifications: Basic knowledge of Java programming and object-oriented principles. Hands-on experience with libGDX through coursework, personal projects, or prototypes. Understanding of fundamental game development concepts such as game loops, sprites, and input management. Strong written and verbal communication skills, with a focus on clear technical documentation. Ability to work collaboratively in a fully remote team environment. Demonstrated interest and initiative in building games or interactive applications. Willingness to complete an AI interview as part of the selection process. Preferred Qualifications: Portfolio of small games or demo projects (GitHub links or playable demos encouraged). Familiarity with vectors, collision detection, or basic 2D physics. Experience using Git for version control and collaborative development.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($70/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.