Full Stack Developer (UX/UI) Job at DataAnnotation in Salt Lake City

Overview Join to apply for the Full Stack Developer (UX/UI) role at DataAnnotation . We are looking for a Full Stack Developer (UX/UI) to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. Responsibilities Give AI chatbots coding challenges and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications Proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) to solve coding problems (think LeetCode, HackerRank, etc). For each coding problem, you must be able to explain how your solution solves the problem. Fluency in English (native or bilingual level) Detail-oriented Experience with algorithms, data structures, and debugging workflows A current, in progress, or completed Masters and/or PhD is preferred but not required Benefits This is a full-time or part-time REMOTE position You’ll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Notes Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position. #J-18808-Ljbffr En Español: En DataAnnotation buscamos un desarrollador de pila completa (UX/UI) para unirse a nuestro equipo para capacitar modelos de IA. Medirás el progreso de estos chatbots de IA, evaluarás su lógica y resolverás problemas para mejorar la calidad de cada modelo. Responsabilidades Dar a los chatbot de IA desafíos de codificación y evaluar sus resultados Evaluar la calidad producida por los modelos de AI para la corrección y el rendimiento Qualifications Proficiencia en al menos un lenguaje de programación (JavaScript, Python, C#, C++, HTML, SQL o Swift) para resolver problemas de codización (pensemos en LeetCode, HackerRank, etc). Para cada problema de código, debe ser capaz de explicar cómo su solución de dinero resuelve el problema.