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Job Title:AI Trainer (LLM Training – Computer Science Domain) Location:RemoteAbout the Role: We are seeking highly qualified individuals with aMaster’s or PhD in Computer Scienceto join our AI development team asAI Trainers . In this role, you will use your deep technical knowledge to evaluate, annotate, and provide structured feedback on AI-generated content produced by Large Language Models (LLMs). Your expertise will bring a level of precision, technical depth, and computational reasoning that is essential for training advanced AI. This role allows you to bridge your academic expertise with cutting-edge LLM development—helping to create AI that understands, explains ,and reasons about code and computer science like a human expert. This position offers a unique opportunity to apply your academic and practical knowledge in computer science to help train AI that is safer, smarter, and better aligned with real-world technical use cases. Key Responsibilities: Evaluate LLM outputs for correctness, coherence, and relevance in technical areas such as programming, algorithms, data science, software engineering, systems design, and theoretical computer science. Assess and annotate AI responses for logical consistency, technical accuracy, code quality, computational feasibility, and clarity. Develop and test prompts that challenge the model’s understanding of programming concepts, debugging scenarios, and algorithmic logic. Provide structured, technical feedback on AI-generated answers, including identifying subtle bugs, inefficient logic, or misleading explanations. Ensure annotation consistency, data integrity, and high-quality labelling across assigned rating tasks.Eligibility Criteria: Master’s or PhD inComputer Science ,Software Engineering , or a related field. Strong command of core computer science topics (e.g., algorithms, data structures, complexity, programming languages, systems architecture). Proficiency in one or more programming languages (e.g., Python,Java, C++, or similar). Excellent analytical and problem-solving skills; ability to spot logical flaws and inefficiencies in code or explanations. Native or near-native English fluency, with excellent written communication skills.