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System Design Specialist at Mercor. Location Information: USA. This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.. Role Description. Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in Software Engineering. As a Software Engineering Specialist on the Human Data team, you will play a key role in developing high-quality datasets that train and refine large language models. This . full-time position . is ideal for experienced engineers eager to apply their technical expertise to advance AI capabilities through close collaboration with world-class research and engineering teams.. You will create and curate data in multiple formats including text, voice, and video to help AI systems learn human reasoning, problem-solving, and coding best practices. The role involves designing, evaluating, and refining code in multiple programming languages, ensuring AI-generated solutions meet industry standards for scalability, reliability, and performance. Your work will directly contribute to building next-generation AI systems that support complex, real-world software development.. Qualifications. 5+ years of experience working with large codebases . 5+ years of experience designing, implementing, deploying, and testing distributed systems . Strong knowledge of data structures and algorithms . Experience integrating databases such as MySQL or MongoDB . Experience with application frameworks such as SpringBoot or ASP.NET . Experience with cloud services such as AWS or Azure . Clear understanding of tradeoffs when selecting technologies and system designs . Requirements. Curate and annotate code datasets in Python, JavaScript including ReactJS, C or C++, Java, Rust, and Go . Evaluate and refine AI-generated code for efficiency, scalability, and reliability . Collaborate with cross-functional teams to enhance AI-driven coding solutions for enterprise use . Design, test, and support distributed systems that power model training and benchmarking . Integrate databases and extend schemas for robust data pipelines . Implement logging, performance monitoring, and alerting to maintain system health . Benefits. Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location . For international candidates, our recruiting team will provide an estimated pay range based on your location . Comprehensive medical benefits for full-time employees . Opportunity to engage in projects that directly influence the performance, reliability, and safety of next-generation AI systems . Work Environment and Schedule. Location options include Palo Alto, CA or fully remote . The Palo Alto role is in-office five days per week; remote roles require strong self-motivation and reliability . U.S.-based applicants must reside outside of Wyoming and Illinois . Visa sponsorship is not available . Schedule runs 9:00 am to 5:30 pm PST for the first two weeks of training, then 9:00 am to 5:30 pm in your local timezone . Remote teammates need reliable high-speed internet, a working camera, and a microphone . Application Process. Submit your resume to get started . Complete a 20-minute interview focused on your experience and expertise . Successful candidates advance to additional rounds and meet the team . The full process typically takes about one week