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Backend Engineering 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 group . to engage experienced software engineers in a high-impact project focused on training and refining large language models (LLMs). As a . Software Engineering Specialist (Human Data Team) . , you’ll help shape the next generation of AI systems by curating advanced coding datasets, benchmarking model outputs, and enhancing model reasoning about programming practices.. This role involves:. Collaborating with technical teams to teach AI models how humans write, debug, and optimize code across multiple programming languages. . Annotating and evaluating AI-generated code for efficiency, scalability, and reliability, ensuring it meets enterprise-level software development standards. . Contributing data in text, voice, or video formats to help models learn from human expertise. . This is a . full-time role . for experienced engineers passionate about applying their coding and problem-solving skills to advance frontier AI systems.. Key Responsibilities. Curate code examples, provide detailed solutions, and make precise corrections across programming languages such as . Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go . . . Evaluate and refine AI-generated code, ensuring adherence to industry standards for efficiency, scalability, and reliability. . Collaborate with cross-functional teams to enhance AI-driven coding solutions and benchmark LLM performance. . Support training initiatives by improving annotation tools, workflows, and data quality. . Contribute to developing coding tasks and datasets that challenge model reasoning and technical understanding. . Qualifications. 5+ years of professional back-end development experience. . Proficiency in multiple server-side languages such as Python and Node.js. . Strong experience designing and implementing RESTful APIs and GraphQL endpoints. . Hands-on experience with both relational databases (PostgreSQL, MySQL) and non-relational databases (MongoDB, Redis). . Deep understanding of database optimization, indexing, and query performance. . Strong grasp of web security principles, including authentication, authorization, and data protection. . Experience with asynchronous processing and background job systems. . Proficiency with testing frameworks for unit, integration, and end-to-end testing. . Preferred Qualifications. Adaptable and detail-oriented professional with strong . logical reasoning and problem-solving skills . . . Experience with . containerization technologies (Docker) . . . Familiarity with . front-end technologies . such as TypeScript or React to facilitate effective cross-functional collaboration. . More About the Opportunity. Location: . Remote or in-person (Palo Alto, CA); in-office requires 5 days/week. . Schedule: . 9:00am–5:30pm PST for the first two weeks; then aligned with your local timezone. . Technical requirements: . Reliable high-speed internet connection, camera, and microphone for virtual collaboration. . U.S. applicants: . Must reside outside of Wyoming and Illinois. . Visa sponsorship: . Not available. . Compensation & Contract Terms. $45–100/hour . for U.S.-based professionals, depending on experience and location. . International pay rates available upon request. . Classified as an . independent contractor . position. . Payments issued regularly for services rendered. . Hourly pay is part of a broader rewards structure; benefits vary by country. . Application Process. Submit your . resume and statement of exceptional work . . . Complete a . 15-minute screening interview . . . If selected, proceed to: . A . technical deep-dive . discussing your software engineering and annotation experience. . A . take-home coding or annotation challenge . . . A . team meet-and-greet . with project collaborators. . The interview process is designed to be completed within . one week . .