At a Glance
- Tasks: Evaluate AI models and provide feedback to ensure accuracy and safety.
- Company: Prolific, a leading company in AI research and development.
- Benefits: Flexible hours, competitive pay, and the chance to influence AI technology.
- Other info: Join a dynamic team and enjoy a remote work lifestyle.
- Why this job: Shape the future of AI while working from anywhere you choose.
- Qualifications: BSc in Computer Science and a valid LinkedIn profile required.
The predicted salary is between 30000 - 40000 € per year.
Prolific is hiring Computer Science Specialists in Brighton, UK, to join their Expert Network. The role involves evaluating AI models by comparing outputs to technical prompts, reviewing research papers, and providing feedback to ensure accuracy and safety.
You will need a BSc in Computer Science, a valid LinkedIn profile, and a PayPal account for payments. This is an opportunity to influence AI models and earn competitive pay in a flexible work environment.
AI Training CS Specialist — Remote, Flexible Hours in Brighton employer: Prolific
Prolific is an exceptional employer that values innovation and flexibility, offering Computer Science Specialists the chance to work remotely from Brighton, UK. With a strong emphasis on employee growth and a collaborative work culture, team members are encouraged to influence cutting-edge AI models while enjoying competitive pay and the freedom of flexible hours.
StudySmarter Expert Advice🤫
We think this is how you could land AI Training CS Specialist — Remote, Flexible Hours in Brighton
✨Tip Number 1
Make sure your LinkedIn profile is up to date and reflects your skills in AI and Computer Science. We want to see your projects, experiences, and any relevant coursework that showcases your expertise.
✨Tip Number 2
Network with professionals in the AI field! Join online forums or local meetups to connect with others who share your interests. This can lead to valuable insights and even job referrals.
✨Tip Number 3
When you apply, tailor your application to highlight your experience with evaluating AI models. We love seeing specific examples of how you've contributed to similar projects in the past.
✨Tip Number 4
Don’t forget to check our website for the latest job openings! Applying directly through us can give you a better chance of landing that role, as we prioritise candidates who show genuine interest in our company.
We think you need these skills to ace AI Training CS Specialist — Remote, Flexible Hours in Brighton
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your BSc in Computer Science and any relevant experience in your application. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your experience with AI models and research papers, as it shows us you’re genuinely interested in the position.
Keep It Professional:While we love a friendly tone, remember to keep your LinkedIn profile up-to-date and professional. This is often the first impression we get of you, so make it count!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Prolific
✨Know Your AI Models
Make sure you brush up on the latest AI models and their evaluation methods. Familiarise yourself with how outputs are generated from technical prompts, as this will help you articulate your thoughts during the interview.
✨Research Prolific Thoroughly
Dive deep into Prolific's work and values. Understanding their approach to AI safety and accuracy will not only impress your interviewers but also help you align your answers with their mission.
✨Prepare Your Questions
Think of insightful questions to ask about the role and the team. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
✨Showcase Your Experience
Be ready to discuss your BSc in Computer Science and any relevant projects or experiences. Highlight specific instances where you've evaluated models or provided feedback, as this will demonstrate your expertise.
