Computer Sciences - Graduates - AI Training

Responsibilities

• Comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety
• Reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity
• Identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings
• Providing the human 'ground truth' to help models align with professional standards in software engineering and data science
• Auditing AI-generated code snippets or architectural diagrams for structural and functional correctness

Benefits

• Competitive pay rates
• Flexible hours
• Ability to work from home
• Human data platform for AI developers, researchers, and organizations.
• London, England, GBR
• https://www.prolific.com/
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Customer Service and Support
• Sales
• Trends of Total Sponsorships
• *2026
• (4)
• 2025
• (12)
• 2024
• (7)
• 2023
• (16)
• 2022
• (39)
• 2021
• 2020
• (8)
• Growth Stage
• Total Funding
• $33.54M

Qualifications

• BSc (Bachelor of Science) in Computer Science or a closely related technical field
• Ability to interpret research papers, understand complex algorithms, and review code logic
• High level of cognitive competency with a sharp eye for technical hallucinations or logical flaws
• 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

• AI Evaluation, Algorithm Understanding, Code Logic Review, Code Verification, Computer Science, Fact-Checking, Generative AI, Large Language Models, Reinforcement Learning from Human Feedback, Research Paper Interpretation, Scientific Review