> Markdown version of [/jobs/ext/83841-ai-infrastructure-specialist-fully-remote](https://www.wearedevelopers.com/jobs/ext/83841-ai-infrastructure-specialist-fully-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure Specialist - Fully Remote - **Company:** Mercor, Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $187,200.0 - $270,400.0 - **Contract:** Temporary contract - **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Program Optimization, Software Debugging, DevOps, Distributed Systems, AI Infrastructure, Pytorch, Machine Learning Operations - **Published:** May 20, 2026 - **Apply:** https://www.careerjet.com/jobad/uscfa0624b55603a576b499e91145a0541 ## About the Role Must-Have * 5+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. * Hands-on production experience with JAX and/or PyTorch at scale, including distributed training strategies (FSDP, tensor parallelism, pipeline parallelism), memory optimization, and framework-level debugging. * Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton, including tiling strategies, memory layout design, and kernel fusion. * Demonstrable career progression. * Ability to engage reliably for at least 30 hours/week during weekdays. * Strong written communication skills and the ability to explain complex technical decisions clearly. ## Description * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. * Design challenging, domain-relevant tasks across multiple specializations. Write accurate and well-structured solutions to MLOps and ML systems problems. * Evaluate MLOps tasks and solutions. Provide clear, written technical feedback. * Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. * Collaborate with other subject matter experts to ensure consistency and accuracy in training data., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity., Position: Infrastructure Technical Specialist (ITS) FileCloud & AWS Location: 100% remote Duration: 12 Months Infrastructure Technical Specialist (ITS) FileCloud & AWS Key … + 3 hours ago + Apply easily ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)