You will use your machine learning expertise to create challenging technical tasks, evaluate model-generated work, identify failures, and establish objective standards for correct solutions. This role is intended for candidates who have already completed substantive AI-training work. What You’ll Work On Create realistic machine learning engineering tasks that challenge advanced AI models. Develop task instructions, reproducible environments, reference solutions, and evaluation criteria. Evaluate model-generated code, experiments, analyses, and technical deliverables. Identify issues involving data leakage, incorrect validation, unstable training, performance, or reproducibility. Required Qualifications Prior paid experience training, evaluating, benchmarking, or improving AI systems. Strong practical proficiency with Python. Hands-on experience using PyTorch, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM, or comparable ML tools. Public Proof of Skill Strong applicants should provide evidence such as: GitHub repositories or public model implementations Kaggle, DrivenData, AIcrowd, or similar competition results Hugging Face models or datasets Research publications or technical reports Open-source ML contributions Public benchmarks, experiments, or technical projects Preferred Qualifications Experience creating AI-training tasks, reference answers, rubrics, graders, or benchmark problems. Experience reviewing other AI trainers’ technical submissions. Kaggle Expert, Master, or Grandmaster status, or strong results in another technical competition. Publications or open-source contributions in machine learning. Prior experience with long-horizon or agentic AI evaluations.

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.