Computer Sciences - Graduates - AI Training
Computer Sciences - Graduates - AI Training

Computer Sciences - Graduates - AI Training

Freelance 48000 - 72000 ÂŁ / year (est.) Home office possible
TargetJobs UK

At a Glance

  • Tasks: Train and evaluate cutting-edge AI models while working from home.
  • Company: Join a forward-thinking team shaping the future of AI technology.
  • Benefits: Earn up to $60 per hour with flexible hours and remote work options.
  • Other info: Opportunity to influence the next generation of AI models.
  • Why this job: Make a real impact on AI development and enhance your tech skills.
  • Qualifications: BSc in Computer Science or related field, with strong analytical skills.

The predicted salary is between 48000 - 72000 ÂŁ per year.

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, you’ll first take a short 10‑to‑15‑minute test. Successful candidates are invited to join Prolific as a paid participant, earning up to $60 per hour depending on skill and experience. You must be prepared to complete paid tasks that require about one hour of uninterrupted work (many tasks are shorter). A valid LinkedIn profile is required for verification, and you’ll need a PayPal account to receive payment.

Responsibilities

  • AI Evaluation & Ranking – compare multiple AI‑generated responses to technical prompts and rank them based on accuracy, logic and safety.
  • Scientific Review – review CS research papers with AI‑generated summaries and graphical abstracts to ensure scientific integrity.
  • Fact‑Checking – identify inaccuracies where the AI misinterprets technical data, formulas or research findings.
  • Reinforcement Learning from Human Feedback – provide the human “ground truth” to align models with professional standards in software engineering and data science.
  • Code & Logic Verification – audit AI‑generated code snippets or architectural diagrams for structural and functional correctness.

Qualifications

  • BSc (Bachelor of Science) in Computer Science or a closely related technical field.
  • Technical literacy – able to interpret research papers, understand complex algorithms and review code logic.
  • Analytical mindset – high level of cognitive competency and a sharp eye for technical hallucinations or logical flaws.
  • Professional verification – a valid LinkedIn profile to verify your degree and background.
  • PayPal account to receive payment.

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.

Benefits

  • Competitive pay rates (up to $60 per hour), flexible hours, the ability to work from home and the chance to influence AI models of the future.

Computer Sciences - Graduates - AI Training employer: TargetJobs UK

Prolific is an exceptional employer for Computer Science graduates, offering competitive pay rates of up to $60 per hour and the flexibility to work from home. Our collaborative work culture fosters innovation and growth, providing opportunities to influence the future of AI models while engaging in meaningful tasks that enhance your technical skills and professional development.
TargetJobs UK

Contact Detail:

TargetJobs UK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Computer Sciences - Graduates - AI Training

✨Tip Number 1

Get your LinkedIn profile sorted! It’s your digital handshake, so make sure it’s up-to-date and showcases your skills in Computer Science. We want to see your projects, experiences, and any relevant coursework that highlights your expertise.

✨Tip Number 2

Practice makes perfect! Before you take that 10-15 minute test, brush up on your technical knowledge and problem-solving skills. We recommend going through some AI evaluation scenarios or coding challenges to get in the zone.

✨Tip Number 3

Network like a pro! Connect with other Computer Science specialists and join relevant groups. Engaging with the community can lead to valuable insights and opportunities. Plus, we love seeing candidates who are proactive in their field!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see what you bring to the table, so don’t hesitate to showcase your passion for AI and tech!

We think you need these skills to ace Computer Sciences - Graduates - AI Training

AI Evaluation & Ranking
Scientific Review
Fact-Checking
Reinforcement Learning from Human Feedback
Code & Logic Verification
Technical Literacy
Analytical Mindset
Understanding of Complex Algorithms
Interpretation of Research Papers
Attention to Detail
Cognitive Competency
Knowledge of Generative AI & LLMs
Familiarity with Technical Documentation
Experience with Verification Frameworks

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your technical skills and experience in your application. We want to see how your background in Computer Science can help us train and evaluate AI models, so don’t hold back!

Keep It Relevant: Tailor your application to the role by focusing on your experience with AI, coding, and research. We’re looking for candidates who can demonstrate their analytical mindset and technical literacy, so make those points clear.

LinkedIn is Key: Don’t forget to have a valid LinkedIn profile ready for verification. It’s essential for us to confirm your qualifications, so make sure it’s up-to-date and reflects your skills and experiences accurately.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to influence the future of AI!

How to prepare for a job interview at TargetJobs UK

✨Brush Up on Your AI Knowledge

Make sure you're up to speed with the latest in AI and machine learning. Familiarise yourself with generative AI, LLMs, and the key technologies mentioned in the job description. This will not only help you during the test but also show your genuine interest in the role.

✨Prepare for Technical Questions

Expect questions that assess your understanding of algorithms, code logic, and research papers. Review common technical concepts and be ready to discuss them. Practising coding problems or reviewing past research papers can give you a solid edge.

✨Showcase Your Analytical Skills

During the interview, highlight your analytical mindset. Be prepared to discuss how you've identified inaccuracies in past projects or research. Use specific examples to demonstrate your ability to spot logical flaws or technical hallucinations.

✨Have Your LinkedIn and PayPal Ready

Since a valid LinkedIn profile is required for verification, ensure it's up-to-date and reflects your qualifications. Also, having your PayPal account set up will streamline the payment process once you start working. It shows you're organised and ready to go!

Computer Sciences - Graduates - AI Training
TargetJobs UK

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