Computer Sciences - Graduates - AI Training - UK at Prolific

Computer Sciences - Graduates - AI Training

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We’re looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we’ll send you a quick 10- to 15-minute test to assess your skills. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll bring

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

What you’ll be doing in the role

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.

Key Technologies

Generative AI & LLMs: training the next generation of technical and reasoning models.
Technical Documentation: working with research papers, code repositories, and data visualizations.
Verification Frameworks: using structured evaluation rubrics to audit AI performance.

Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.