Remote GPU Kernel Auditor for AI Training Tasks

Jobgether

España

On-site

PHP 6,050,000 - 8,642,000

Full time

5 days ago
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Benefits offered by this job

Competitive hourly rate
Fully remote
Flexible contract
High-impact work
Specialized GPU kernel focus
Contractor-friendly terms

Job summary

Jobgether is seeking a GPU Kernels AI Task Auditor - Freelance AI Trainer Project, remotely based with the partner company. You will audit GPU kernel tasks used to train AI models, ensuring accuracy, feasibility, reproducibility, and robust testing criteria.

_candidates should have deep GPU kernel knowledge (CUDA/Triton) and strong problem-solving skills to identify memory, synchronization and performance issues, delivering clear feedback for improvement.

Qualifications

  • Experience in GPU kernel development and optimization.
  • Strong knowledge of CUDA or Triton programming.
  • Ability to identify memory, synchronization and parallel execution issues.

Responsibilities

  • Evaluate GPU kernel tasks to determine technical accuracy, realism, solvability, reproducibility, and support by tests.
  • Test and troubleshoot complex GPU programming scenarios to validate behavior and reveal weaknesses.
  • Audit tasks for memory allocation bugs, bottlenecks, and parallel compute errors.
  • Review CUDA, Triton, and other GPU kernel implementations for correctness and practicality.
  • Provide actionable technical feedback and recommendations for improvements.

Skills

GPU kernel development
CUDA/Triton
Parallel computing
Memory management
Performance optimization
Debugging
Technical feedback

Job description

Jobgether is seeking a GPU Kernels AI Task Auditor - Freelance AI Trainer Project, remotely based with the partner company. You will audit GPU kernel tasks used to train AI models, ensuring accuracy, feasibility, reproducibility, and robust testing criteria.

_candidates should have deep GPU kernel knowledge (CUDA/Triton) and strong problem-solving skills to identify memory, synchronization and performance issues, delivering clear feedback for improvement.

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