AI training contract
CUDA Engineering Expert
Software Engineering · USD 60-100 an hour. · 50 openings
CUDA Engineering Expert is contract work for micro1, reviewing and correcting what AI models produce in software engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 60 to USD 100 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: CUDA, C++, GLSL, WebGPU.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: CUDA Engineering Expert Role Type: Contractor Location: Remote micro1 is engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI lab. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware. Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies. Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures. Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines. Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication. Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics. Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes. Preferred Qualifications Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels. Advanced C++ development skills, particularly in high-performance computing environments. Hands-on experience with GLSL and WebGPU for graphics and compute shader development. Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization. Strong analytical abilities to evaluate and reason about kernel performance across hardware generations. Excellent written and verbal communication skills—clear documentation and technical reporting are essential. Experience collaborating in remote, cross-disciplinary project settings is a plus.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.