At a Glance
- Tasks: Review AI-generated explanations and validate ML code to enhance AI models.
- Company: Prolific Academic Ltd, a leader in AI and Machine Learning.
- Benefits: Earn up to £80 per hour with flexible remote work options.
- Other info: Be part of an expert network with exciting growth opportunities.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Degree in Computer Science or related field with ML experience.
The predicted salary is between 64000 - 83200 € per year.
Prolific Academic Ltd is seeking AI and Machine Learning Engineers to join its Expert Network. In this role, you will review AI-generated explanations, validate ML code, and provide essential feedback to align AI models with human intent.
Candidates should have a degree in Computer Science or a related field, along with professional experience in ML and deep learning. This position allows for remote work with competitive pay rates of up to $80 per hour for one hour of work.
LLM Evaluation & Training Engineer (Remote) employer: Prolific Academic Ltd
Prolific Academic Ltd is an exceptional employer that values innovation and collaboration in the field of AI and Machine Learning. With the flexibility of remote work, competitive pay rates, and a culture that encourages continuous learning and professional growth, employees are empowered to make meaningful contributions while enjoying a supportive work environment. Join us to be part of a forward-thinking team that is shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Evaluation & Training Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or relevant forums. We can’t stress enough how a personal connection can give you an edge over other candidates.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work in ML and deep learning. We love seeing real examples of what you can do, so make sure to highlight any projects that align with the job description.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your experience with AI-generated explanations. We want to see your thought process, so practice articulating your ideas clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our Expert Network.
We think you need these skills to ace LLM Evaluation & Training Engineer (Remote)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in AI and machine learning. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects and achievements!
Tailor Your Application:Take a moment to customise your application for this specific role. We love seeing candidates who take the time to connect their skills and experiences directly to what we’re looking for at Prolific Academic.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about why you’re the right fit for us.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Prolific Academic Ltd
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and machine learning concepts. Be prepared to discuss specific algorithms, frameworks, and your past experiences with ML projects. This will show that you’re not just familiar with the theory but have practical experience too.
✨Prepare for Technical Questions
Expect technical questions related to ML code validation and AI-generated explanations. Practise coding challenges or review common ML problems. Being able to demonstrate your problem-solving skills in real-time can really set you apart from other candidates.
✨Showcase Your Feedback Skills
Since the role involves providing feedback to align AI models with human intent, think of examples where you’ve successfully given constructive feedback in previous roles. Highlight how your insights improved a project or product, as this will resonate well with the interviewers.
✨Emphasise Remote Work Experience
As this position is remote, it’s crucial to highlight any previous remote work experience. Discuss how you manage your time, communicate effectively with teams, and stay productive outside of a traditional office environment. This will reassure them that you can thrive in a remote setting.
