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AI Trainer - Advanced SQL Developers Jobs

2 Job Offers

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Senior Data Science Solution Architect
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United States , Irving
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Hire IT People, Inc
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Until further notice
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Partner Solutions Architect
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Singapore
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ClickHouse
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Until further notice
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Discover specialized AI Trainer jobs for Advanced SQL Developers, a cutting-edge career at the intersection of data engineering and artificial intelligence. Professionals in this role are pivotal in teaching, refining, and evaluating large language models (LLMs) and AI systems to understand, generate, and optimize complex SQL code. They act as expert guides, transforming raw AI potential into reliable, production-ready tools for data querying and database management. Typically, an AI Trainer for Advanced SQL is responsible for creating and curating high-quality training datasets. This involves writing sophisticated SQL queries, stored procedures, and database scripts that serve as exemplary learning material for AI. A core part of the job is to analyze and rank the AI's SQL outputs, providing nuanced feedback on accuracy, efficiency, and best practices. They design challenging prompts and scenarios to test the model's understanding of advanced concepts like query optimization, window functions, complex joins, and database-specific dialects (e.g., PostgreSQL, T-SQL, BigQuery). Furthermore, they often establish evaluation frameworks and benchmarks to measure the AI's performance and progress over time. The typical skill set for these jobs is a blend of deep technical expertise and an aptitude for pedagogy. Candidates must possess expert-level proficiency in SQL and a thorough understanding of database architecture, performance tuning, and data modeling. Experience with version control systems like Git is common. Equally important are strong analytical and critical thinking skills to dissect AI-generated code. Excellent written communication is essential for crafting clear instructions and detailed feedback. While not always mandatory, familiarity with fundamental machine learning concepts and the AI development lifecycle is a significant advantage. A problem-solving mindset and patience for iterative testing are key personal attributes. This profession offers a unique opportunity for seasoned SQL developers to leverage their niche expertise in shaping the future of AI-driven data tools. As businesses increasingly rely on AI for data operations, the demand for skilled professionals in these AI Trainer jobs continues to grow. It is an ideal career path for those who enjoy mentoring, have a passion for precision, and want to be at the forefront of technological innovation, ensuring that AI assistants produce secure, efficient, and accurate database code.

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