GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Accountabilities:

In this role, you will review GPU kernel tasks and provide actionable technical feedback to improve their correctness, practicality, and evaluation quality.

• Evaluate GPU kernel tasks for technical accuracy, realism, solvability, and reproducibility.

• Verify that tasks are supported by reliable tests, sound evaluation criteria, and clearly defined expected outcomes.

• Identify memory allocation bugs, execution bottlenecks, and errors in parallel computing logic.

• Analyze complex technical scenarios, troubleshoot issues, and assess whether proposed solutions are technically valid.

• Provide clear, detailed, and actionable feedback to improve task quality and the reliability of AI training and evaluation workflows.

• Apply your specialized expertise to the relevant technical domain, ensuring that assessments meet demanding engineering standards.

Requirements:

The ideal candidate brings substantial hands-on experience in GPU kernel development and the analytical ability to evaluate complex computing tasks rigorously. Candidates will be considered for a specific area of expertise based on their background; expertise across every listed technology is not required.

• Demonstrable professional experience in GPU kernel development or a closely related technical specialty.

• Deep technical knowledge of at least one relevant area, such as CUDA, Triton programming, parallel computing, or hardware-level performance optimization.

• Strong analytical, critical-thinking, and problem-solving skills.

• Ability to test, troubleshoot, and evaluate complex technical scenarios systematically.

• Ability to identify implementation errors, performance limitations, and logical inconsistencies.

• Strong written communication skills to explain technical findings and provide precise, actionable feedback.

• Access to a secure computer and a reliable high-speed internet connection suitable for remote technical work.

Benefits:

• Hourly compensation: Up to $60 per hour, with the exact rate determined by experience, expertise, and geographic location.

• Remote flexibility: Work remotely.

• Freelance arrangement: Contract-based work offering flexibility in how you organize your professional activities.

• Technical impact: Contribute your GPU computing expertise to the improvement of AI training and evaluation systems.

• Specialized work: Focus on the technical domain that best matches your experience.

• Independent work setup: Use your own secure computer and high-speed internet connection.

• Benefits eligibility: This is a freelance contractor position; company-sponsored health insurance, paid time off, and other employee benefits are not provided.