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 innovation.
- 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) in Sheffield 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) in Sheffield
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn or relevant forums. We can leverage our connections to get insights and maybe even referrals for that LLM Evaluation & Training Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work in ML and deep learning. We can include projects where you've validated ML code or provided feedback on AI models, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and techniques. We should practice explaining complex ideas simply, as you'll need to align AI models with human intent, which is key for this role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our applications to highlight our relevant experience and skills directly related to the job description.
We think you need these skills to ace LLM Evaluation & Training Engineer (Remote) in Sheffield
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. Mention how your skills can help us review AI-generated explanations and validate ML code. A personal touch goes a long way!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless necessary. Make it easy for us to see why you’re the perfect fit for the team!
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!
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 model, as this will resonate well with the interviewers.
✨Emphasise Remote Work Experience
As this position is remote, be ready to discuss your experience working in a remote environment. Share how you manage your time, communicate effectively, and stay productive without direct supervision. This will reassure them that you can thrive in a remote setting.
