At a Glance
- Tasks: Train and evaluate cutting-edge AI models while providing critical feedback.
- Company: Prolific, a leader in AI and Machine Learning innovation.
- Benefits: Earn up to £80 per hour with flexible hours and remote work options.
- Other info: Exciting opportunity for growth in a fast-paced tech environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Degree in a related field and strong deep learning skills required.
The predicted salary is between 64000 - 83200 € per year.
Prolific is seeking an AI & Machine Learning Engineer to assist in training and evaluating LLMs. Candidates should hold a degree in a related field and possess strong skills in deep learning, technical rigor, and analytical critique.
Responsibilities include:
- Reviewing AI model architectures
- Auditing code for efficiency
- Providing critical feedback for model alignment with human intent
Benefits include:
- Competitive pay rates up to $80 per hour
- Flexible working hours
- The ability to work from home
Remote AI/ML Engineer - Train & Evaluate LLMs (RLHF/RAG) in Cambridge employer: Prolific
Prolific is an exceptional employer that values innovation and flexibility, offering competitive pay rates of up to £80 per hour for the role of Remote AI/ML Engineer. With a strong emphasis on work-life balance, employees enjoy flexible working hours and the convenience of working from home, fostering a culture of collaboration and continuous learning that empowers personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI/ML Engineer - Train & Evaluate LLMs (RLHF/RAG) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community on LinkedIn or relevant forums. Engaging with others can lead to hidden job opportunities and valuable insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and deep learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and common ML challenges. Practising coding problems and discussing your thought process can really impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Remote AI/ML Engineer - Train & Evaluate LLMs (RLHF/RAG) in Cambridge
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your deep learning expertise and any relevant projects you've worked on. We want to see how you can bring your technical skills to the table!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Let us know exactly what you can do!
Tailor Your Application:Don’t just send a generic application. Take the time to align your experience with the job description. We love seeing how your background fits with our needs!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It helps us keep everything organised and ensures your application gets to the right people!
How to prepare for a job interview at Prolific
✨Know Your Models
Make sure you’re well-versed in the latest AI model architectures, especially those relevant to LLMs. Brush up on your knowledge of deep learning techniques and be ready to discuss how you've applied them in past projects.
✨Show Your Analytical Skills
Prepare to demonstrate your analytical critique abilities. Think of specific examples where you’ve audited code for efficiency or provided feedback on model alignment. This will show that you can think critically about AI systems.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of RLHF and RAG methodologies. Practise explaining these concepts clearly, as well as discussing any challenges you faced while working with them.
✨Highlight Your Flexibility
Since this role offers flexible working hours, be prepared to discuss how you manage your time effectively. Share examples of how you’ve successfully worked remotely and maintained productivity in previous roles.
