GPU Kernel AI Task Auditor
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Apply GPU kernel development and parallel computing expertise remotely from Canada as a freelance AI Task Auditor. Evaluate technical tasks for accuracy and reliability.
This partner-managed freelance project suits experienced technical professionals with GPU kernel development experience. You will assess AI training tasks, examine realistic engineering challenges, and provide evidence-based feedback. Your work supports stronger evaluation benchmarks and more reliable AI training workflows.
Key Responsibilities:
- Evaluate GPU kernel tasks for accuracy, realism, and reproducibility
- Verify tests, evaluation criteria, and expected outcomes
- Identify memory bugs, bottlenecks, and parallel logic errors
- Troubleshoot scenarios and assess proposed technical solutions
- Provide actionable feedback on task quality and reliability
Requirements:
- Professional GPU kernel development or related experience
- Knowledge of CUDA, Triton, parallel computing, or optimization
- Strong analytical, critical-thinking, and problem-solving skills
- Ability to test and troubleshoot complex technical scenarios
- Secure computer and reliable high-speed internet connection
Use GPU computing expertise, systematic analysis, and precise communication to improve AI training and evaluation workflows remotely.