Computer Science Expert - Remote AI Fellowship

What You'll Do8

• Create domain-specific prompts that test how LLMs handle computer science topics.
• Review and critique model responses for technical accuracy and clarity.
• Compare LLM output with established CS concepts and explain any gaps.
• Research current computing topics to build better evaluation examples.
• Document reasoning behind prompt design and scoring decisions.
• Work with leading AI labs on async project tasks when assigned.
• Complete project work on your own schedule without a minimum hour requirement.
• Study subjects that interest you, using AI tools as research support.

Requirements6

• Doctoral student or graduate in Computer Science, including current enrollees and postdoctoral researchers.
• Strong grasp of core CS concepts such as algorithms, systems, or theory.
• Ability to explain complex computing topics in clear written English.
• Comfort working on async projects with limited real-time supervision.
• Confidence that your domain knowledge exceeds current AI system performance.
• Access to reliable internet and a remote work setup.

Who Should Apply

The right fit is a CS doctoral student, postdoc, or recent graduate who can write precise prompts and judge model answers against real computer science knowledge. You enjoy independent research and can commit to project work without fixed hours. This role is less suited to people who need structured daily tasks, close mentorship, or a guaranteed number of hours each week. Applicants often score low when they submit generic credentials without showing depth in a specific CS area. Another common miss is treating the work as simple data labeling rather than expert evaluation that requires technical reasoning.

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