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AI Trainer - Advanced Java Developers Jobs

2 Job Offers

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Lead Technical Trainer, Partners
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United States , Austin, TX
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94815.00 - 130000.00 USD / Year
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LogicMonitor
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Until further notice
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Senior Software Engineer – AI Assistant Integration Expert
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Spain , Barcelona
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Not provided
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Amaris Consulting
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Until further notice
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Looking for specialized AI Trainer jobs for advanced Java developers? This unique and in-demand role sits at the intersection of cutting-edge artificial intelligence and deep software engineering expertise. An AI Trainer, specifically for advanced Java, is a professional who leverages their senior-level programming knowledge to teach, refine, and evaluate AI models, particularly Large Language Models (LLMs) and code-generation systems. Their primary mission is to improve an AI's ability to understand, generate, and reason about complex Java code, frameworks, and development paradigms. Professionals in these jobs typically engage in a variety of core responsibilities. They create high-quality training data, which involves writing sophisticated Java code snippets, designing algorithmic challenges, and crafting precise instructions and responses. A significant part of the role involves evaluating AI-generated Java code for correctness, efficiency, security, and adherence to best practices like clean code principles and design patterns. They analyze model outputs, identify errors or areas of confusion (such as misconceptions about concurrency, memory management, or modern frameworks like Spring), and provide corrective feedback through techniques like reinforcement learning from human feedback (RLHF). Furthermore, they often develop guidelines and documentation to steer the AI towards producing enterprise-grade, production-ready code. Typical skills and requirements for these positions are stringent, reflecting the advanced nature of the work. Candidates are expected to possess expert-level proficiency in Java, with years of hands-on experience in building, deploying, and maintaining complex applications. A deep understanding of Java ecosystems, JVM internals, popular frameworks, and build tools is essential. Equally important is a strong conceptual grasp of AI and machine learning fundamentals, particularly how LLMs are trained and evaluated. Excellent analytical and problem-solving skills are crucial for dissecting AI logic, while communication skills are key for providing clear, actionable feedback. A passion for both software craftsmanship and the future of AI-assisted development defines successful individuals in these pioneering jobs. For senior Java developers looking to pivot into the AI frontier, AI Trainer roles offer a compelling career path where their deep technical knowledge directly shapes the next generation of developer tools.

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