GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Jobgether; Netherlands; Remote; EUR 44,000 - 74,000; Full time

Benefits offered by this job

Hourly rate up to $60

Remote work

Freelance contract

Technical impact

Independent work setup

No employer benefits

Job summary

Jobgether partners with a client to recruit a GPU Kernels AI Task Auditor for a freelance AI trainer project, remotely from the Netherlands. The role focuses on evaluating GPU kernel tasks for accuracy, realism, solvability, and reproducibility to strengthen AI training workflows and benchmarks.

You will verify tests and evaluation criteria, identify memory and parallel computing issues, and provide actionable feedback to improve task quality.

Qualifications

• Experience in GPU kernel development or closely related field.
• Deep knowledge of CUDA, Triton programming, parallel computing, or hardware-level optimization.
• Strong analytical and problem-solving abilities.
• Ability to systematically test, troubleshoot, and evaluate complex technical scenarios.
• Strong written communication to explain technical findings clearly.

Responsibilities

• Evaluate GPU kernel tasks for technical accuracy, realism, solvability, and reproducibility.
• Verify tasks are supported by reliable tests, sound evaluation criteria and defined outcomes.
• Identify memory allocation bugs, bottlenecks and parallel computing errors.
• Analyze complex scenarios, troubleshoot, and assess proposed solutions for validity.
• Provide clear, detailed feedback to improve task quality and AI training/evaluation workflows.
• Apply expertise to ensure assessments meet demanding engineering standards.

Skills

GPU kernel development

CUDA

Triton programming

Parallel computing

Hardware-level optimization

Analytical thinking

Problem solving

Written communication

Job description

Our partner is looking for a GPU Kernels AI Task Auditor – Freelance AI Trainer Project based remotely in Netherlands.

Join a specialized AI training project focused on improving the technical accuracy and reliability of advanced AI systems. As a GPU Kernels AI Task Auditor, you will evaluate technical tasks designed to train and assess AI models, ensuring they reflect realistic engineering challenges and meet rigorous standards. You will apply your expertise in GPU kernel development, parallel computing, and hardware-level optimization to identify technical flaws and performance issues. Your assessments will help strengthen the quality of AI training workflows and evaluation benchmarks. This freelance opportunity offers the flexibility of remote work and the chance to contribute to the development of more capable AI systems. It is particularly suited to experienced technical professionals who enjoy complex problem-solving and precise, evidence-based evaluation.

Accountabilities:

• 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:

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.