Design advanced computer science problems focused on reasoning and conceptual understanding
Create structured reference solutions with clear logic and technical explanations
Evaluate AI-generated answers for correctness, reasoning quality, completeness, and clarity
Identify edge cases, logical flaws, and weak reasoning patterns in model outputs
Review complex topics across algorithms, systems, databases, networking, security, and theory
Contribute to benchmark and evaluation quality improvements
Provide detailed feedback to support AI model training and evaluation
Collaborate with researchers and reviewers on problem refinement
Maintain high-quality standards and consistent evaluation methodology

PhD in Computer Science or a closely related field (completed or in progress)
Strong theoretical and problem-solving background across advanced CS domains
Ability to design conceptual and reasoning-heavy technical problems
Strong understanding of algorithms, systems, databases, networking, or cybersecurity
Excellent written English communication skills
Strong analytical skills and attention to technical detail
Ability to critically evaluate reasoning, assumptions, and solution validity

PhD Computer Science Expert – AI Research

Key skills