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.
Responsibilities
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 skills
Strong analytical and problem-solving skills to rigorously test, troubleshoot, and evaluate complex technical scenarios.
Experience and education
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).
Equipment requirements
As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Eligibility
Work arrangement: Fully remote
Eligible locations: Worldwide
Compensation details
$60 per hour.
We offer a pay rate of $60 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.