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Invisible Technologies

Invisible Technologies

GPU Kernels AI Task Auditor - Freelance AI Trainer Project

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Fully RemoteEngineeringWorldwide

Salary

$840–$1k

Posted

1h ago

Source

himalayas

Go

Project OverviewWe are sourcing experienced technical specialists in GPU Kernels to audit tasks used to train and evaluate AI systems. The objective of this project is to ensure that AI training workflows and tasks are technically rigorous, practical, and highly accurate within your specific area of expertise.

Project Deliverables & Scope

  • Task Evaluation:Assess whether GPU kernel tasks are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria.

  • Technical Auditing & Feedback:Provide clear, actionable feedback on any identified memory allocation bugs, execution bottlenecks, or parallel computing logic errors within the tasks.

Required Expertise

  • Demonstrable professional experience and deep technical knowledge in GPU Kernel development (including CUDA/Triton programming, parallel computing, and hardware-level performance optimization).(Note: Candidates will be considered for one specialty based on their experience; expertise across other domains is not required).

  • Strong analytical and problem-solving skills to rigorously test, troubleshoot, and evaluate complex technical scenarios.

We offer a pay range of $70 - $100per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insuranceand PTO do not apply.

Employment type:Freelance Contract

Workplace type:Remote

Salary in context

This salary range is below the typical band for remote Engineering roles — comparable roles on RemoteTide top out closer to $150k.

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

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