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Key Responsibilities:
- Evaluate GPU kernel tasks to determine whether they are technically accurate, realistic, solvable, reproducible, and supported by reliable tests.
- Rigorously test and troubleshoot complex GPU programming scenarios to validate task behavior and identify potential weaknesses.
Requirements:
- Demonstrable professional experience in GPU kernel development and optimization.
- Strong expertise in CUDA or Triton programming, parallel computing, and hardware-level GPU performance optimization.
- Ability to identify subtle correctness, performance, memory management, and parallel execution issues.
Benefits:
- Competitive freelance compensation: $70–$100 USD per hour.
- Fully remote work with flexible freelance engagement.
- High-impact technical work improving AI training and evaluation systems.
Jobgether
Our partner is a company specializing in AI training and evaluation, seeking experienced GPU kernel specialists to audit AI training tasks. The project is globally distributed and offers fully remote freelance work.