Java Coding Specialist - Freelance AI Trainer Project
Agency - World Wide - Remote
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $81,444 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +6.9% - Faster than average
U.S. benchmark only; posted salary is not compared across countries or currencies.
Matched to SOC 29-1141 - Healthcare aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Java Coding Specialist - Freelance AI Trainer Project World Wide - Remote Java Coding Specialist - Freelance AI Trainer Project United States of America Are you a Java expert who can spot a flawed abstraction from across a codebase? Large-scale language models are evolving from clever chatbots into engines of real scientific and engineering progress. High-quality training data is what separates a capable model from a genuinely useful one. That data starts with people who actually know the craft. We're looking for Java specialists with deep fluency in object-oriented design, concurrency, JVM internals, data structures, algorithms, and system architecture. You'll put advanced language models through their paces on Java problems spanning a wide range of difficulty and complexity, assessing whether model-generated solutions are correct, well-reasoned, and production-quality. That means evaluating not just whether code runs, but whether it's the right approach, whether edge cases are handled, and whether the reasoning behind it holds up. You'll review Java problems and model-generated solutions, judge correctness and code quality, identify where the model's logic breaks down, and document failure patterns clearly enough that others can act on them. You may also flag whether a given problem is well-specified and appropriately challenging for training purposes. A bachelor's, master's, or PhD in computer science, software engineering, or a closely related field is a strong signal. So is real-world Java experience, competitive programming, open-source contributions, or technical writing. The ability to clearly articulate why a solution is wrong or weak, not just that it is, matters
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