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 university
2+ 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 science
Exceptional written and verbal communication skills
Strong attention to detail and analytical thinking
Start Date : Immediate
Duration : 1–2 months
Commitment : Part‐time, ~20 hours / week (potential to extend to 40 hours / week)
Schedule : Fully remote and asynchronous – flexible working hours
If you're ready to apply your expertise to cutting‐edge AI development, apply now and join this innovative collaboration!
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Software Engineer • Madrid, Madrid, SPAIN