Java AI Data Training Tech Quality Lead | Remote

Java AI Data Training Tech Quality Lead Work Snapshot • Job Type: Contract • Location: Remote (United States) • Compensation: $50 $100 per hour • Commitment: Flexible / project-based (hourly) Roles & Responsibilities • Review Java code submissions and AI-generated solutions for correctness, readability, maintainability, and adherence to coding standards • Evaluate algorithmic soundness, debugging approaches, performance implications, modularity, and software engineering best practices • Provide detailed and constructive feedback on Java tasks while escalating critical technical or quality issues when necessary • Maintain high-quality standards for AI training data and Java-focused coding workflows • Communicate project updates, review expectations, and technical clarifications with trainers and QA contributors • Monitor contributor engagement and proactively support inactive team members to improve participation and workflow consistency • Create and maintain documentation including Java coding guidelines, review checklists, example solutions, trackers, FAQs, and onboarding materials • Organize and conduct onboarding and training sessions focused on Java quality standards, code review practices, and AI training expectations Requirements • Education: Bachelor s or Master s degree in Computer Science, Software Engineering, or a related field • 7+ years of professional experience in Java development with strong expertise in code quality review, debugging, technical evaluations, and software maintainability • Strong understanding of Java programming concepts, system design, implementation approaches, code refactoring, and best practices for robust and readable software development • Hands-on experience with LLM projects, AI training workflows, data annotation, or technical QA processes preferred • Excellent analytical and problem-solving skills with the ability to identify root causes, evaluate alternative solutions, and maintain high review accuracy • Strong English communication skills (C1 or above) for documentation, async collaboration, and technical feedback across global teams • Leadership mindset with the ability to work independently, mentor contributors, maintain QA standards, and support trainer engagement throughout the review process