GPU Kernels AI Task Auditor

📋 Description

• Evaluate GPU kernel tasks for technical accuracy, realism, solvability, and reproducibility.
• Verify that tasks are supported by reliable tests, sound evaluation criteria, and clearly defined
• Identify memory allocation bugs, execution bottlenecks, and errors in parallel computing logic.
• Analyze complex technical scenarios, troubleshoot issues, and assess whether proposed solutions are
• Provide clear, detailed, and actionable feedback to improve task quality and the reliability of AI
• Apply your specialized expertise to the relevant technical domain, ensuring that assessments meet

🎯 Requirements

• Demonstrable professional experience in GPU kernel development or a closely related technical
• Deep technical knowledge of at least one relevant area, such as CUDA, Triton programming, parallel
• 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

🎁 Benefits

• Hourly compensation: Up to $60 per hour, with the exact rate determined by experience, expertise
• Remote flexibility: Work remotely.
• Freelance arrangement: Contract-based work offering flexibility in how you organize your
• Technical impact: Contribute your GPU computing expertise to the improvement of AI training and
• Specialized work: Focus on the technical domain that best matches your experience.
• Independent work setup: Use your own secure computer and high-speed internet connection.