GPU Kernels AI Task Auditor - Freelance AI Trainer Project

📋 Description

• Evaluate GPU kernel tasks to determine whether they are technically accurate, realistic, solvable
• Rigorously test and troubleshoot complex GPU programming scenarios to validate task behavior and
• Audit tasks for memory allocation bugs, execution bottlenecks, synchronization issues, and parallel
• Review CUDA, Triton, and other GPU kernel implementations for correctness, performance
• Provide clear, specific, and actionable technical feedback on identified issues and recommend
• Apply deep knowledge of GPU computing and hardware-level optimization to assess the quality and

🎯 Requirements

• Demonstrable professional experience and deep technical knowledge in GPU kernel development and
• Strong expertise in CUDA or Triton programming, parallel computing, and hardware-level GPU
• Strong analytical and problem-solving skills, with the ability to rigorously evaluate and
• Ability to identify subtle correctness, performance, memory management, and parallel execution
• Strong understanding of practical GPU development workflows and the ability to assess whether
• Clear written communication skills, with the ability to turn technical findings into concise and

🎁 Benefits

• Competitive freelance compensation: $70-$100 USD per hour, with the final rate determined based on
• Fully remote: Work from any location as part of a globally distributed technical project.
• Flexible freelance engagement: contribute your specialized expertise through a remote contract
• High-impact technical work: help improve the accuracy, reliability, and technical rigor of AI
• Specialized focus: work within the GPU specialty that best matches your professional background.
• No employer-sponsored benefits: health insurance, paid time off, and other company-sponsored