{"schemaVersion":"jobsearcher.job.v1","id":"c21cfb2fa7d931588b7d509b","url":"https://jobsearcher.com/jobs/c21cfb2fa7d931588b7d509b","canonicalUrl":"https://jobsearcher.com/jobs/c21cfb2fa7d931588b7d509b","title":"LLM Model Trainer (Remote)","description":"Role: LLM Model Trainer (Remote)Location: Remote (Work from Anywhere)Payout: CompetitiveRole Overview:We are hiring for one of our clients, seeking a LLM Trainer - Cuda/C++ to Python migration to work on a full-time basis. This candidate will contribute to improving large language model (LLM) capabilities by solving complex coding problems, optimizing GPU-based workloads, reviewing model-generated code, and helping train AI systems to produce high-quality CUDA and parallel computing solutions. The ideal candidate should have strong expertise in CUDA, GPU programming, parallel computing, performance optimization, and Python-based machine learning ecosystems. This role is a unique opportunity to work with a global leader in the AI industry, driving innovation and advancement in cutting-edge AI and machine learning projects.Key Responsibilities:• Solve advanced CUDA and parallel computing problems involving GPU acceleration and performance optimization.• Review, evaluate, and improve AI-generated CUDA/C++/Python code.• Analyze GPU kernel performance and optimize algorithms for throughput, latency, and memory efficiency.• Work with CUDA developers to develop and train AI systems to produce high-quality CUDA and parallel computing solutions.• Collaborate with cross-functional teams to integrate AI models into real-world applications.Required Skills & Qualifications:• Strong expertise in CUDA, GPU programming, parallel computing, performance optimization, and Python-based machine learning ecosystems.• Experience in solving complex coding problems and optimizing GPU-based workloads.• Proficiency in reviewing and improving AI-generated code, including CUDA/C++/Python.• Excellent analytical and problem-solving skills, with the ability to analyze complex system performance and optimize algorithms.• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, driving innovation and advancement in cutting-edge AI and machine learning projects. As a key member of the team, you will have the chance to contribute to the development and deployment of powerful AI systems, working with cutting-edge technologies and collaborating with a talented team of experts.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!","company":"Hired","rawCompany":"hired","isRemote":true,"isActive":false,"createdAt":"2026-06-04T15:45:38.780Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"LLM Model Trainer (Remote)","description":"Role: LLM Model Trainer (Remote)Location: Remote (Work from Anywhere)Payout: CompetitiveRole Overview:We are hiring for one of our clients, seeking a LLM Trainer - Cuda/C++ to Python migration to work on a full-time basis. This candidate will contribute to improving large language model (LLM) capabilities by solving complex coding problems, optimizing GPU-based workloads, reviewing model-generated code, and helping train AI systems to produce high-quality CUDA and parallel computing solutions. The ideal candidate should have strong expertise in CUDA, GPU programming, parallel computing, performance optimization, and Python-based machine learning ecosystems. This role is a unique opportunity to work with a global leader in the AI industry, driving innovation and advancement in cutting-edge AI and machine learning projects.Key Responsibilities:• Solve advanced CUDA and parallel computing problems involving GPU acceleration and performance optimization.• Review, evaluate, and improve AI-generated CUDA/C++/Python code.• Analyze GPU kernel performance and optimize algorithms for throughput, latency, and memory efficiency.• Work with CUDA developers to develop and train AI systems to produce high-quality CUDA and parallel computing solutions.• Collaborate with cross-functional teams to integrate AI models into real-world applications.Required Skills & Qualifications:• Strong expertise in CUDA, GPU programming, parallel computing, performance optimization, and Python-based machine learning ecosystems.• Experience in solving complex coding problems and optimizing GPU-based workloads.• Proficiency in reviewing and improving AI-generated code, including CUDA/C++/Python.• Excellent analytical and problem-solving skills, with the ability to analyze complex system performance and optimize algorithms.• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, driving innovation and advancement in cutting-edge AI and machine learning projects. As a key member of the team, you will have the chance to contribute to the development and deployment of powerful AI systems, working with cutting-edge technologies and collaborating with a talented team of experts.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!","datePosted":"2026-06-04T15:45:38.780Z","dateModified":"2026-06-04T15:45:38.780Z","hiringOrganization":{"@type":"Organization","name":"Hired","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c21cfb2fa7d931588b7d509b"},"url":"https://jobsearcher.com/jobs/c21cfb2fa7d931588b7d509b"}}