We are partnering with a leading AI research group to engage experienced Computer Science experts for an exciting collaboration. This role involves contributing to the development and evaluation of advanced AI systems designed to replicate real-world workflows across various subdomains of computer science, including algorithms, data structures, operating systems, computer architecture, databases, programming languages, and machine learning.
Key Responsibilities
- Create and assess complex problems in computer science across areas such as algorithms, data structures, operating systems, computer architecture, databases, programming languages, and machine learning
- Evaluate AI-generated responses for conceptual accuracy, technical rigor, and domain relevance
- Provide clear written feedback on computer science problem sets, code solutions, and explanations
- Collaborate asynchronously with AI researchers and engineers to improve model performance
- Ensure technical accuracy and academic precision in all computer science content used to train or evaluate AI systems
Ideal Qualifications
PhD in Computer Science or a directly related field from a top university2+ years of academic experience (research, publication, teaching) or professional experience (software engineer, researcher, or computer scientist)Deep subject‑matter expertise across core areas of computer scienceExceptional written and verbal communication skillsStrong attention to detail and analytical thinkingStart Date : ImmediateDuration : 1–2 monthsCommitment : Part‑time, ~20 hours / week (potential to extend to 40 hours / week)Schedule : Fully remote and asynchronous – flexible working hoursIf you're ready to apply your expertise to cutting‑edge AI development, apply now and join this innovative collaboration!
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