GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Join a specialized AI training project focused on improving the technical accuracy and reliability of advanced AI systems. As a GPU Kernels AI Task Auditor, you will evaluate technical tasks designed to train and assess AI models, ensuring they reflect realistic engineering challenges and meet rigorous standards. You will apply your expertise in GPU kernel development, parallel computing, and hardware-level optimization to identify technical flaws and performance issues. Your assessments will help strengthen the quality of AI training workflows and evaluation benchmarks. This freelance opportunity offers the flexibility of remote work and the chance to contribute to the development of more capable AI systems. It is particularly suited to experienced technical professionals who enjoy complex problem-solving and precise, evidence-based evaluation.

The ideal candidate brings substantial hands-on experience in GPU kernel development and the analytical ability to evaluate complex computing tasks rigorously. Candidates will be considered for a specific area of expertise based on their background; expertise across every listed technology is not required.

• Demonstrable professional experience in GPU kernel development or a closely related technical specialty.

• Deep technical knowledge of at least one relevant area, such as CUDA, Triton programming, parallel computing, or hardware-level performance optimization.

• Strong analytical, critical-thinking, and problem-solving skills.

• Ability to test, troubleshoot, and evaluate complex technical scenarios systematically.

• Ability to identify implementation errors, performance limitations, and logical inconsistencies.

• Strong written communication skills to explain technical findings and provide precise, actionable feedback.

• Access to a secure computer and a reliable high-speed internet connection suitable for remote technical work.