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- Tasks: Evaluate AI-generated summaries and ensure scientific accuracy in computer science.
- Company: Join a forward-thinking team dedicated to advancing AI technology.
- Benefits: Fully remote work, flexible hours, and the chance to shape AI's future.
- Other info: Ideal for tech-savvy individuals passionate about AI and scientific integrity.
- Why this job: Make a real impact on AI by ensuring it understands complex research accurately.
- Qualifications: Master’s or PhD in Computer Science with strong fact-checking skills.
The predicted salary is between 30000 - 40000 £ per year.
About the role
We are seeking Computer Science domain experts to act as evaluators for a high‑level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy. This is a flexible, ad‑hoc project where your technical expertise directly influences how AI understands and summarizes complex computer science research.
Responsibilities
- Review Computer Science scientific papers alongside LLM-generated graphical abstracts.
- Identify issues and inaccuracies where the graphical abstract does not faithfully represent the source paper.
- Use domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
Requirements
- Hold a master’s or PhD in Computer Science.
- Specialized knowledge in STEM/Computer Science fields.
- Experience with fact‑checking tasks and a high level of basic cognitive competency.
Bonus Points
- Previous experience with AI‑related training or evaluation tasks.
- Background in scientific publishing or peer review.
AI Trainer – Computer Science Expert - Graphical Abstract - Fully Remote - (UK) employer: Prolific
Contact Detail:
Prolific Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Trainer – Computer Science Expert - Graphical Abstract - Fully Remote - (UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the computer science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for an AI Trainer.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your work in computer science, especially any projects related to AI or graphical abstracts. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and computer science. Be ready to discuss your experience with fact-checking and how you ensure scientific integrity in your work.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Trainer – Computer Science Expert - Graphical Abstract - Fully Remote - (UK)
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your qualifications and experience in Computer Science. We want to see how your background aligns with the role, so don’t hold back on showcasing your master's or PhD and any relevant projects you've worked on.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Remember, we’re looking for someone who can communicate complex ideas simply and effectively.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to this specific role. Mention your experience with fact-checking and any AI-related tasks you’ve tackled before – it’ll make you stand out!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at Prolific
✨Know Your Stuff
Make sure you brush up on your Computer Science knowledge, especially the latest trends and research. Be prepared to discuss specific papers or concepts that relate to the role, as this will show your expertise and passion for the field.
✨Familiarise with AI Models
Since the role involves evaluating AI-generated content, it’s crucial to understand how these models work. Do some research on LLMs and their applications in summarising scientific papers. This will help you articulate your insights during the interview.
✨Prepare Examples
Think of specific instances where you've identified inaccuracies in technical documents or contributed to fact-checking tasks. Sharing these examples will demonstrate your attention to detail and your ability to maintain scientific integrity.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals. Plus, it makes for a more engaging conversation!