At a Glance
- Tasks: Evaluate and refine AI models, ensuring they align with human intent and technical accuracy.
- Company: Prolific, a leader in ethical AI data collection and innovative research.
- Benefits: Competitive pay, flexible hours, remote work, and the chance to shape future AI technologies.
- Other info: Fast onboarding process and excellent opportunities for career growth.
- Why this job: Join a dynamic team and influence the development of cutting-edge AI systems.
- Qualifications: Advanced degree in a relevant field and experience with ML models and frameworks.
The predicted salary is between 60000 - 80000 £ per year.
AI & Machine Learning Engineer – AI Training
About Prolific: Prolific is 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.
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 & Notebooks: validate ML‑specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
- Refine RLHF Frameworks: provide high‑quality human feedback necessary to align models with human intent, safety, and helpfulness.
- Analyze Model Reasoning: critically assess how an AI model navigates complex chain‑of‑thought (CoT) prompts and identify where the reasoning breaks down.
- Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
- Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
- Language & Data: advanced Python (NumPy, Pandas, scikit‑learn) and experience with Hugging Face Transformers.
- Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
- Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Why Prolific is a Great Platform to Join as a Participant
Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes and start enjoying competitive pay rates, flexible hours, and the ability to work from home. Our platform connects researchers and companies with a global pool of participants, enabling the collection of high‑quality, ethically sourced behavioral data and feedback—essential for developing more accurate and aligned AI systems.
AI Engineer/ML Engineer - Senior Developers - AI Training - Sheffield, UK employer: Prolific
Prolific is an exceptional employer that fosters a collaborative and innovative work culture, perfect for AI Engineers and ML Engineers looking to make a significant impact in the field of artificial intelligence. Located in Sheffield, employees benefit from flexible working hours, competitive pay, and opportunities for professional growth within a rapidly expanding company dedicated to ethical data collection and AI development. Join us to be part of a team that values your expertise and encourages you to shape the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer/ML Engineer - Senior Developers - AI Training - Sheffield, UK
✨Tip Number 1
Network like a pro! Reach out to fellow AI enthusiasts and professionals on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML models or AI training. We recommend using GitHub to share your code and demonstrate your expertise in frameworks like PyTorch or TensorFlow.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We suggest practising common ML interview questions and coding challenges. Don’t forget to articulate your thought process clearly; it’s all about showing how you think!
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. We’re always on the lookout for talented individuals who can contribute to our mission of building quality human data for AI development.
We think you need these skills to ace AI Engineer/ML Engineer - Senior Developers - AI Training - Sheffield, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with ML models, neural networks, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 our team. Keep it engaging and personal—let us know what excites you about this opportunity.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in frameworks like PyTorch or TensorFlow, and any experience with cloud platforms. We love seeing candidates who can demonstrate their technical prowess and understanding of complex ML concepts.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Prolific
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like PyTorch, TensorFlow, and advanced Python libraries. Brush up on your understanding of neural network architectures and optimisation techniques, as these will likely come up during technical discussions.
✨Prepare for Practical Scenarios
Expect to tackle real-world problems during your interview. Practice auditing code and validating ML-specific scripts. You might be asked to analyse model reasoning or benchmark performance, so having hands-on experience with these tasks will give you a leg up.
✨Showcase Your Analytical Skills
Be ready to demonstrate your attention to detail. Prepare examples where you’ve identified issues like biased outputs or logical failures in AI-generated content. This will highlight your critical thinking and analytical critique skills, which are essential for the role.
✨Engage with the Interviewers
Don’t just answer questions—engage in a dialogue. Ask insightful questions about their current projects or challenges they face with AI models. This shows your genuine interest in the role and helps you assess if Prolific is the right fit for you.
