Our partner is looking for a AWS Trainium/NKI (TRN) AI Task Auditor - Freelance AI Trainer Project based in Mexico.
This freelance opportunity is designed for experienced technical specialists with deep expertise in AWS Trainium and the Neuron Kernel Interface (NKI).
You will audit technical tasks used to train and evaluate AI systems, ensuring they are accurate, realistic, reproducible, and technically rigorous.
You will assess whether tasks can be reliably solved and validated through appropriate tests and evaluation criteria.
Your technical judgment will help identify hardware acceleration inefficiencies, kernel execution bugs, and logic errors that could affect AI evaluation quality.
The project provides an opportunity to apply specialized knowledge of AI accelerators and kernel development to challenging, real-world technical scenarios.
As a freelance contributor, you will work independently and directly influence the quality and reliability of AI training and evaluation workflows.




Evaluate AWS Trainium and Neuron Kernel Interface tasks to determine whether they are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria.
Identify hardware acceleration inefficiencies, kernel execution bugs, logic errors, and other issues that may compromise task quality or evaluation accuracy.
Rigorously test and troubleshoot complex technical scenarios to validate expected behavior and task outcomes.
Provide clear, actionable technical feedback that enables task authors and evaluators to resolve identified issues and improve task quality.
Apply deep expertise in AWS Trainium architecture and AI acceleration to ensure training and evaluation workflows meet high technical standards.
Document technical findings clearly and consistently across assigned project tasks.
Demonstrable professional experience and deep technical knowledge of AWS Trainium architecture, including model compilation, accelerator optimization, and Neuro

📌 AWS Trainium/NKI (Ciudad de México)
🏢 Jobgether
📍 Ciudad de México