{"schemaVersion":"jobsearcher.job.v1","id":"6df2c031cc04b825bb1e0763","url":"https://jobsearcher.com/jobs/6df2c031cc04b825bb1e0763","canonicalUrl":"https://jobsearcher.com/jobs/6df2c031cc04b825bb1e0763","title":"Frontend JavaScript Developer- Ai Training","description":"Work Mode: Remote\r\nEngagement Type: Independent Contractor\r\nSchedule: Full-Time or Part-Time Contract\r\nLanguage Requirement: Fluent English\r\nRole Overview\r\nWe partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts.\r\nWhat You'll Do\r\nEvaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness\r\nConduct fact-checking using trusted public sources and authoritative references\r\nConduct accuracy testing by executing code and validating outputs using appropriate tools\r\nAnnotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies\r\nAssess code quality, readability, algorithmic soundness, and explanation quality\r\nEnsure model responses align with expected conversational behavior and system guidelines\r\nApply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines\r\nWho You Are\r\nYou hold a BS, MS, or PhD in Computer Science or a closely related field\r\nYou have significant real-world experience in software engineering or related technical roles\r\nYou are an expert in at least one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust)\r\nYou are able to solve HackerRank or LeetCode Medium and Hard-level problems independently\r\nYou have experience contributing to well-known open-source projects, including merged pull requests\r\nYou have significant experience using LLMs while coding and understand their strengths and failure modes\r\nYou have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws\r\nNice-to-Have Specialties\r\nPrior experience with RLHF, model evaluation, or data annotation work\r\nTrack record in competitive programming\r\nExperience reviewing code in production environments\r\nFamiliarity with multiple programming paradigms or ecosystems\r\nExperience explaining complex technical concepts to non-expert audiences\r\nWhat Success Looks Like\r\nYou identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions\r\nYour feedback improves the correctness, robustness, and clarity of AI coding outputs\r\nYou deliver reproducible evaluation artifacts that strengthen model performance\r\nJ-18808-Ljbffr","company":"Yo IT Consulting","rawCompany":"yo it consulting","city":"Raleigh","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:00:05.692Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Frontend JavaScript Developer- Ai Training","description":"Work Mode: Remote\r\nEngagement Type: Independent Contractor\r\nSchedule: Full-Time or Part-Time Contract\r\nLanguage Requirement: Fluent English\r\nRole Overview\r\nWe partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts.\r\nWhat You'll Do\r\nEvaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness\r\nConduct fact-checking using trusted public sources and authoritative references\r\nConduct accuracy testing by executing code and validating outputs using appropriate tools\r\nAnnotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies\r\nAssess code quality, readability, algorithmic soundness, and explanation quality\r\nEnsure model responses align with expected conversational behavior and system guidelines\r\nApply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines\r\nWho You Are\r\nYou hold a BS, MS, or PhD in Computer Science or a closely related field\r\nYou have significant real-world experience in software engineering or related technical roles\r\nYou are an expert in at least one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust)\r\nYou are able to solve HackerRank or LeetCode Medium and Hard-level problems independently\r\nYou have experience contributing to well-known open-source projects, including merged pull requests\r\nYou have significant experience using LLMs while coding and understand their strengths and failure modes\r\nYou have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws\r\nNice-to-Have Specialties\r\nPrior experience with RLHF, model evaluation, or data annotation work\r\nTrack record in competitive programming\r\nExperience reviewing code in production environments\r\nFamiliarity with multiple programming paradigms or ecosystems\r\nExperience explaining complex technical concepts to non-expert audiences\r\nWhat Success Looks Like\r\nYou identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions\r\nYour feedback improves the correctness, robustness, and clarity of AI coding outputs\r\nYou deliver reproducible evaluation artifacts that strengthen model performance\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T08:00:05.692Z","dateModified":"2026-04-09T08:00:05.692Z","hiringOrganization":{"@type":"Organization","name":"Yo IT Consulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6df2c031cc04b825bb1e0763"},"url":"https://jobsearcher.com/jobs/6df2c031cc04b825bb1e0763"}}