We’re looking for experienced, hands-on software engineers to help evaluate and improve AI coding models. Rather than primarily building production applications, you’ll work with coding agents across real-world repositories and assess the quality of their work. You’ll review generated code and agent behavior, determine whether solutions are technically correct, identify failure modes, and create the evaluation signals and feedback used to improve model performance. Think of the coding agent as another engineer whose work you’re reviewing: Can it understand the task? Did it choose the right approach? Is the resulting code correct, robust, and maintainable? Can you explain precisely where it succeeded or failed? What You’ll Do Design, refine, and iterate on rubrics and evaluation criteria for preference data Review and label data with a high quality bar, catching subtle issues others might overlook Build and maintain pipelines and infrastructure supporting data generation, collection, and evaluation workflows Synthesize findings from data work into clear write-ups, updates, and recommendations for the team Collaborate closely with researchers and engineers to translate qualitative judgment into scalable processes What We’re Looking For 5+ years of hands-on software engineering experience Strong proficiency in Python, TypeScript/JavaScript, Go, or another major production language Experience working in substantial real-world codebases Strong code-review skills and technical judgment Ability to clearly explain why an implementation is correct, incorrect, or could be improved Strong written communication Experience using modern LLMs or AI coding tools Experience with LLM evaluation, coding agents, RLHF, preference data, rubric design, or post-training is a plus, but not required.

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.