GitHub Contributor
Contribute production-quality open source code used to train and evaluate coding models.
Contribute production-quality open source code used to train and evaluate coding models.
Write and review GPU kernels and graphics code to train AI on low-level programming.
Build and ship full-stack features in an AI-native engineering environment.
Develop and review CUDA and GPU-accelerated code to support AI training data and model performance work.
Apply ML engineering expertise to evaluate and improve AI coding agents on machine learning tasks, model training pipelines, and ML system design.
Lead quality assurance for AI-generated JavaScript code, reviewing correctness, performance, and adherence to modern JS standards.
Lead quality assurance for AI-generated TypeScript code, evaluating type correctness, code structure, and modern TypeScript best practices.
Lead quality assurance for AI-generated Bash scripts, reviewing correctness, efficiency, portability, and shell scripting best practices.
Lead quality assurance for AI-generated PHP code, evaluating correctness, security practices, and adherence to modern PHP standards.
Lead quality assurance for AI-generated R code, reviewing statistical correctness, data manipulation accuracy, and R best practices.
Lead quality assurance for AI-generated Dart code, evaluating correctness, Flutter integration, and Dart programming best practices.
Lead quality assurance for AI-generated Kotlin code, reviewing correctness, idiomatic patterns, and Kotlin-specific best practices.
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