GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Invisible Technologies is seeking experienced technical specialists in GPU Kernels to join a freelance project focused on auditing tasks used to train and evaluate advanced AI systems. Your primary objective will be to ensure that AI training workflows are technically rigorous, practical, and highly accurate within the domain of parallel computing and hardware-level optimization.

Key responsibilities

• Evaluate GPU kernel tasks to ensure they are technically accurate, realistic, solvable, and reproducible.
• Verify that tasks are supported by reliable testing frameworks and clear evaluation criteria.
• Conduct technical audits to identify memory allocation bugs, execution bottlenecks, and parallel computing logic errors.
• Provide clear, actionable feedback to improve the quality and technical integrity of AI training workflows.

Requirements

• Demonstrable professional experience and deep technical knowledge in GPU Kernel development.
• Proficiency in CUDA or Triton programming, parallel computing, and hardware-level performance optimization.
• Strong analytical and problem-solving skills to rigorously test, troubleshoot, and evaluate complex technical scenarios.
• Ability to work independently as a freelance contractor on specialized technical auditing tasks.

What we offer

• Opportunity to contribute to the development of cutting-edge AI training systems.
• Flexible freelance contract structure allowing for remote collaboration.
• Engagement in high-level technical work that challenges your expertise in GPU architecture and parallel processing.