We are looking for a Strategic Project Lead with direct experience operating software-engineering data programs for frontier AI models. You will own production across coding data, RLHF or preference data, SWE benchmarks, model evaluations, agentic coding, code generation, and code repair. This includes contributor calibration, throughput, quality, rework, cost, timelines, and delivery recovery. The role requires strong technical judgment. You should be able to read code and tests, inspect final artifacts, identify invalid work, and make release or rejection decisions with minimal training. What Does Day-to-Day Look Like? Operate active software-engineering data and evaluation programs end to end. Manage contributor sourcing, calibration, onboarding, reviewer capacity, and performance. Track throughput, quality, rework, defects, cost, and delivery timelines. Review code, tests, task metadata, and final artifacts for technical correctness. Diagnose quality failures and improve task design, rubrics, instructions, and review processes. Lead recovery plans when programs fall behind on quality, throughput, cost, or timelines. Coordinate distributed software engineers, reviewers, and team leads. Communicate progress, risks, and corrective actions to customer research and program teams. Use Python, SQL, or similar tools for quality analysis, defect tracking, and operational reporting. Requirements Direct experience operating production software-engineering data programs for frontier AI models, preferably involving coding training, coding RLHF, SWE benchmarks, model evaluations, agentic coding, code generation, or code repair. Proven ownership of the full production system, including contributor sourcing and calibration, task throughput, quality, rework, cost management, and delivery recovery. Strong software-engineering judgment, with the ability to read code and tests, inspect final artifacts, identify invalid technical work, and make release or rejection decisions. Experience managing distributed software-engineering contributors, reviewers, and team leads while maintaining consistent quality and delivery performance. Ability to take over an active program quickly, diagnose operational problems independently, and communicate clear decisions and recovery plans to demanding customers.

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.