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 Java Script, Python, Go, Java, Type Script, 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: Java Script, Python, Go, Java, Type Script, 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 Py Test, 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
