Scope of Work Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements. Review, annotate, and label data sets to enhance machine learning model training accuracy. Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement. Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements. Contribute to the development and refinement of testing methodologies specific to AI-driven systems. Maintain detailed, organized records of evaluations, test results, and feedback through written documentation. Provide actionable recommendations to optimize data quality and model performance. Preferred Qualifications Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.

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.