At a Glance
- Tasks: Join our Expert Network to train and evaluate cutting-edge AI models.
- Company: Prolific, a leader in the AI data space with a collaborative culture.
- Benefits: Earn up to $80 per hour for your expertise and enjoy flexible remote work.
- Other info: Dynamic role with opportunities for professional growth and skill enhancement.
- Why this job: Make a real impact on the future of AI while working with top-tier technology.
- Qualifications: Degree in Computer Science or related field and experience with ML models required.
The predicted salary is between 60000 - 80000 € per year.
Remote
About Prolific
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
The role
We’re looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we’ll send you a quick 10‑ to 15‑minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
What you’ll bring
- Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
- Professional Experience: experience building, deploying, or fine‑tuning ML models in a production environment.
- Deep Learning Mastery: professional‑level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
- LLM Specialization: hands‑on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval‑Augmented Generation) workflows.
- Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
- Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI‑generated technical content.
What you’ll be doing in the role
- Evaluate LLM Architecture Logic: review AI‑generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
- Audit Code
AI Engineer/ML Engineer - Senior Developers - AI Training - Glasgow, UK employer: Prolific Academic Ltd
Prolific is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Engineers and ML Engineers to thrive in their roles while working remotely from Glasgow. With competitive pay rates of up to $80 per hour for tasks, employees benefit from flexible working conditions and the opportunity to contribute to cutting-edge AI research, enhancing their skills and career growth in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer/ML Engineer - Senior Developers - AI Training - Glasgow, UK
✨Tip Number 1
Network like a pro! Reach out to fellow AI and ML enthusiasts on LinkedIn or relevant forums. Share your expertise, ask questions, and engage in discussions – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or deep learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those assessments! If you get a test from Prolific, take it seriously. Brush up on your neural network architectures and optimisation techniques beforehand to ensure you shine during the evaluation.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Don’t miss out on the chance to join our Expert Network and get paid for your expertise in AI and ML.
We think you need these skills to ace AI Engineer/ML Engineer - Senior Developers - AI Training - Glasgow, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Engineer/ML Engineer. Highlight your experience with ML models, deep learning, and any relevant projects that showcase your skills in a production environment.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Prolific. Don’t forget to mention any specific experiences with LLMs or prompt engineering.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise. Mention any specific neural network architectures you've worked with and your understanding of optimization techniques. This will help us see your depth of knowledge.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Prolific Academic Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of neural network architectures and optimisation techniques. Be ready to discuss your experience with Transformers, CNNs, and RNNs in detail. Prolific will want to see that you can not only build models but also understand the intricacies behind them.
✨Showcase Your Projects
Prepare to talk about specific projects where you've deployed or fine-tuned ML models. Highlight any challenges you faced and how you overcame them. This will demonstrate your practical experience and problem-solving skills, which are crucial for the role.
✨Get Familiar with LLMs
Since the role focuses on training and evaluating LLMs, make sure you understand Prompt Engineering and RLHF workflows. Bring examples of how you've applied these concepts in your previous work to show your hands-on experience.
✨Attention to Detail is Key
Prolific values analytical critique, so be prepared to discuss how you identify issues like biased outputs or logical failures in AI-generated content. Practise explaining your thought process when auditing model logic, as this will showcase your technical rigor.
