GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Agency

Completely RemoteContractSeniorInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Assess whether GPU kernel tasks are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria
  • Provide clear, actionable feedback on any identified memory allocation bugs, execution bottlenecks, or parallel computing logic errors within the tasks

Requirements

  • Demonstrable professional experience and deep technical knowledge in GPU Kernel development (including CUDA/Triton programming, parallel computing, and hardware-level performance optimization)
  • Strong analytical and problem-solving skills to rigorously test, troubleshoot, and evaluate complex technical scenarios

About the Company

This project involves sourcing technical specialists to audit tasks used to train and evaluate AI systems to ensure workflows are technically rigorous and accurate.

Skills & tools

CUDATritonGPU KernelsParallel Computing

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Deep technical knowledge in GPU Kernel development
  2. 02Experience with CUDA/Triton programming
  3. 03Parallel computing expertise
  4. 04Hardware-level performance optimization skills
  5. 05Strong analytical and problem-solving skills
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