Coding Expert - Java

Remote (United States preferred) – Hourly, at-will contractor role with fully remote and asynchronous work (minimum 15 hrs/week). Pay range: \$25 – \$100 per hour (US). Start date is rolling as projects launch.

Responsibilities

• Review and evaluate AI-generated Java code for correctness, efficiency, and clarity.
• Write high-quality Java solutions to coding problems across varying difficulty levels.
• Create clear, human-readable explanations for code logic and problem-solving strategies.

Requirements

• Fluent in English, with strong written communication skills and the ability to clearly explain abstract coding concepts.
• Expertise in Java: Deep familiarity with core Java concepts such as OOP, multithreading, exception handling, and standard libraries.
• 3-5 years of experience with Java frameworks, tools, or domains (e.g., Spring, Android, backend development) is a plus.
• Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.
• Bonus: Experience with data labeling, RLHF, or other AI training projects.

About the role

• Flexible workload — work from anywhere, on your own schedule.
• High impact — your craft directly improves models used by top AI labs & Fortune 500 teams.
• Clear ownership — know exactly what success looks like and have autonomy to deliver.
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs.

Interview process

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Domain-specific Zara interview to assess your Java expertise, including performance optimization (garbage collection, JIT compilation), software design and architecture, and advanced features such as generics, streams, functional programming, concurrency, and the module system.

About Labelbox

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.