Computer Sciences - Graduates - AI Training -… at Prolific · Remote

Summary: Prolific is building the biggest pool of quality human data in the world, and they are seeking Computer Science Specialists to join their Expert Network. The role involves training and evaluating AI models by reviewing CS research papers and providing human feedback to enhance AI understanding of complex scientific data. Responsibilities: - AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety - Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity - Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings - RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science - Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness Required Qualifications: - Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field - Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic - Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws - Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process - A PayPal account to receive payment from our clients Required Skills: Computer Science, Research Paper Interpretation, Algorithm Understanding, Code Logic Review, Analytical Skills, AI Model Evaluation, Scientific Review, Fact-Checking, Reinforcement Learning from Human Feedback, Software Engineering, Data Science, Code Verification Benefits: Competitive pay rates, Flexible hours, The ability to work from home