About the Role
We're looking for experienced Java developers to help evaluate and improve AI systems trained on code. Your expertise will directly influence how AI understands, writes, and debugs Java — making a real impact on the future of software development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible, asynchronous — work on your own schedule
What You'll Do
- Review and evaluate AI-generated Java code for correctness, efficiency, and clarity
- Write high-quality Java solutions to coding problems across a range of difficulty levels
- Craft clear, human-readable explanations for code logic and problem-solving strategies
- Identify bugs, edge cases, and suboptimal patterns in AI-generated solutions
- Provide structured, actionable feedback that helps AI models improve over time
Who You Are
- Strong command of core Java concepts — OOP, multithreading, exception handling, generics, streams, and the standard library
- Able to write clean, well-structured code and explain your reasoning clearly in English
- Detail-oriented with a high bar for correctness and code quality
- Self-motivated and comfortable working independently in an async environment
Nice to Have
- 3+ years of hands-on Java experience in professional or project settings
- Familiarity with Java frameworks or domains such as Spring, Android, or backend development
- Background in computer science (Bachelor's, Master's, or PhD — all welcome)
- Prior experience with data labeling, RLHF, or AI training workflows
- Knowledge of performance optimization topics like garbage collection and JIT compilation
Why Join Us
- High impact — your work directly shapes AI models used by leading research labs and enterprise teams worldwide
- Fully remote and flexible — work from anywhere, on a schedule that fits your life
- Autonomy — clear task ownership with no micromanagement
- Cutting-edge projects — get hands-on exposure to how frontier AI is trained and evaluated
- Growth potential — top contributors take on expanded responsibilities and mentor incoming experts
- Ongoing work — consistent performers are matched to new projects as they launch