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Full Stack Software Engineers for AI Training

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We have partnered to one of our enterprise client that helps the world's most innovative companies improve their AI models by providing human feedback.Are you an experienced software engineer who wants to help shape the future of AI?The project's focus is helping generative AI improve its understanding of software development practices, coding standards, debugging techniques, and collaborative engineering workflows.Job DescriptionYou may contribute your expertise by:Creating and answering technical questions about software engineering concepts and fullstack development, coding best practices, and debugging strategies to help train AI modelsReviewing and evaluating code generated by AI in languages such as JavaScript, Python, Go, Java, TypeScript, and C++Analyzing code quality, maintainability, and adherence to real-world engineering standardsProviding expert-level feedback on version control workflows, collaborative coding practices, and effective debugging techniquesQualificationsWe’re looking for people with: 3+ years of professional software engineering experience with full stack developmentProficiency in at least two of the following languages: JavaScript, Python, Go, Java, TypeScript, or C++ Professional experience building and maintaining production-grade software systemsStrong knowledge of Git (or similar version control systems), including experience with branching, merging, and collaborative development workflowsOutstanding attention to detail and ability to clearly communicate technical feedback and coding best practicesNice to have:Backend engineering expertise with experience designing and scaling server-side systems Test-Driven Development (TDD) experience and strong testing disciplineExperience authoring technical specifications and API contractsHands-on expertise with testing frameworks such as PyTest, JUnit, Mocha, or similar toolsExperience conducting code reviews, debugging complex issues, and analyzing large codebasesZero-to-one experience as a founding engineer or early employee at a startupAdditional InformationRemote work – complete tasks anytime, anywhereFlexible– matched to assignments based on fit and availabilityNo guaranteed hours – workload may vary weekly