GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Accountabilities

• Evaluate GPU kernel tasks to determine whether they are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria.


• Rigorously test and troubleshoot complex GPU programming scenarios to validate task behavior and identify potential technical weaknesses.


• Audit tasks for memory allocation bugs, execution bottlenecks, synchronization issues, and parallel computing logic errors.


• Review CUDA, Triton, and other GPU kernel implementations for correctness, performance considerations, and practical applicability.


• Provide clear, specific, and actionable technical feedback on identified issues and recommend improvements where appropriate.


• Apply deep knowledge of GPU computing and hardware-level optimization to assess the quality and relevance of AI training and evaluation tasks.


• Work independently within an assigned area of specialization while maintaining a high standard of technical accuracy and consistency.

• Demonstrable professional experience and deep technical knowledge in GPU kernel development and optimization.


• Strong expertise in areas such as CUDA or Triton programming, parallel computing, and hardware-level GPU performance optimization.


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


• Ability to identify subtle correctness, performance, memory management, and parallel execution issues.


• Strong understanding of practical GPU development workflows and the ability to assess whether technical tasks can be reliably reproduced.


• Clear written communication skills, with the ability to turn technical findings into concise and actionable feedback.


• Candidates will be evaluated for one specialty based on their experience; expertise across every GPU-related domain is not required.


• Ability to work effectively and independently in a fully remote freelance environment.


• Access to a secure computer and high-speed internet connection is required.

• Competitive freelance compensation: $70–$100 USD per hour, with the final rate determined based on experience, expertise, and geographic location.


• Fully remote: Work remotely from India as part of a globally distributed technical project.


• Flexible freelance engagement: Contribute your specialized expertise through a remote contract arrangement.


• High-impact technical work: Help improve the accuracy, reliability, and technical sophistication of AI training and evaluation systems.


• Specialized focus: Work within the GPU kernel specialty that best matches your professional background.


• Contractor flexibility: Designed for experienced specialists seeking project-based technical work.


• No employer-sponsored benefits: Health insurance, paid time off, and other company-sponsored employee benefits do not apply to freelance contractors.


• Equipment responsibility: Contractors provide their own secure computer and high-speed internet connection.

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