C++ Quality Assurance Lead (QAL)
Lead quality assurance for AI-generated C++ code, evaluating correctness, performance, memory management, and modern C++ standards.
Lead quality assurance for AI-generated C++ code, evaluating correctness, performance, memory management, and modern C++ standards.
Lead quality assurance for AI-generated C# code, reviewing correctness, design patterns, and adherence to .NET best practices.
Lead quality assurance for AI-generated C code, evaluating correctness, memory safety, performance, and low-level programming accuracy.
Lead quality assurance for AI-generated Go code, reviewing correctness, performance, and idiomatic Go programming patterns.
Lead quality assurance for AI-generated Java code, evaluating correctness, design patterns, and adherence to Java best practices.
Lead quality assurance for AI-generated ML-focused Python code, evaluating model implementations, training pipelines, and data science workflows.
Lead quality assurance for AI-generated HTML and CSS code, reviewing structure, styling accuracy, accessibility, and web standards compliance.
Lead quality assurance for AI-generated Python code, evaluating correctness, efficiency, and adherence to best practices.
Lead quality assurance for AI-generated SQL code, reviewing query accuracy, performance, and correctness across complex database tasks.
Design and implement coding benchmarks used to evaluate frontier AI models across real-world programming tasks. Build and maintain scalable data pipelines for AI evaluation workflows, analyze AI-generated code for correctness and edge-case failures, and create structured evaluation scenarios that rigorously test reasoning, debugging, and code quality across large multi-language codebases.
Provide engineering and platform expertise for AI training datasets.
Build full-stack web applications using React, Node.js, and JavaScript.
Page 17 of 28 · 330 total