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About the Role:
- This is a freelance, remote opportunity to audit GPU kernel tasks for an AI training project.
- You will apply expertise in CUDA, Triton, and parallel computing to evaluate technical accuracy and performance.
- Your feedback will directly improve the reliability of AI models and evaluation benchmarks.
Key Responsibilities:
- Review GPU kernel tasks for technical accuracy, realism, and reproducibility.
- Verify tests, evaluation criteria, and expected outcomes; identify bugs and bottlenecks.
- Provide clear, actionable feedback to enhance AI training workflows.
Requirements:
- Substantial experience in GPU kernel development or a closely related specialty.
- Deep knowledge in CUDA, Triton, or hardware-level performance optimization.
- Strong analytical and written communication skills, plus access to secure equipment and high-speed internet.
Jobgether
A partner company operating a specialized AI training project to improve the technical accuracy of AI systems. The company seeks experienced technical professionals for freelance, remote evaluation work, emphasizing precision and evidence-based assessment.