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 projects' focus is helping generative AI improve its understanding of software development practices, coding standards, debugging techniques, and collaborative engineering workflows.
Job Description
* Creating and answering technical questions about software engineering concepts and fullstack development, coding best practices, and debugging strategies to help train AI models
* Reviewing 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 standards
* Providing expert‐level feedback on version control workflows, collaborative coding practices, and effective debugging techniques
Qualifications
We're looking for people with:
* 3+ years of professional software engineering experience with full stack development
* Proficiency in at least two of the following languages: JavaScript, Python, Go, Java, TypeScript, or C++
* Professional experience building and maintaining production‐grade software systems
* Strong knowledge of Git (or similar version control systems), including experience with branching, merging, and collaborative development workflows
* Outstanding attention to detail and ability to clearly communicate technical feedback and coding best practices
Nice to have
* Backend engineering expertise with experience designing and scaling server‐side systems
* Test‐Driven Development (TDD) experience and strong testing discipline
* Experience authoring technical specifications and API contracts
* Hands‐on expertise with testing frameworks such as PyTest, JUnit, Mocha, or similar tools
* Experience conducting code reviews, debugging complex issues, and analyzing large codebases
* Zero‐to‐one experience as a founding engineer or early employee at a startup
Additional Information
* Remote work – complete tasks anytime, anywhere
* Flexible– matched to assignments based on fit and availability
* No guaranteed hours – workload may vary weekly
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