
Computer Science Expert (PhD)
Hiring experienced Computer Science experts to join an exciting collaboration with a top AI research lab. This role involves contributing to the development and evaluation of advanced AI systems designed to replicate real-world workflows across algorithms, data structures, operating systems, computer architecture, databases, programming languages, and machine learning.
Key Responsibilities
Create and assess complex problems in computer science across various subdomains 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 iterate and 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
Project Timeline
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
Compensation & Contract
Competitive hourly rate based on experience ($75–$95 USD/hr)
Independent contractor
Weekly payment via Stripe Connect
Application & Onboarding Process
Upload your resume and application form
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
Work trial: A paid, 4-hour assessment evaluating your ability to interpret project guidelines and deliver computer science-specific output