AI Engineer/ML Engineer - Senior Developers - AI Training - UK
Posted Today by Prolific
Negotiable
Undetermined
Undetermined
London, England, United Kingdom
Summary: The AI & Machine Learning Engineer role at Prolific involves joining an Expert Network to train and evaluate advanced AI models, specifically focusing on large language models (LLMs). Candidates will leverage their deep technical expertise in machine learning and AI to provide critical feedback and assessments on model performance. Successful applicants will participate in paid tasks that contribute to the development of AI systems, ensuring they align with human intent and safety. This position offers competitive pay and flexible working conditions.
Key Responsibilities:
- Evaluate LLM Architecture Logic for technical accuracy.
- Audit Code & Notebooks for efficiency and correctness.
- Refine RLHF Frameworks by providing high-quality human feedback.
- Analyze Model Reasoning to identify breakdowns in AI logic.
- Benchmark Performance through comparative testing of model outputs.
Key Skills:
- Education: BS, MS, or PhD in Computer Science, AI, Robotics, or related field.
- Professional Experience in building, deploying, or fine-tuning ML models.
- Deep Learning Mastery with neural network architectures.
- LLM Specialization in Prompt Engineering, RLHF, or RAG workflows.
- Technical Rigor in auditing model logic and evaluating ML algorithms.
- Analytical Critique with attention to detail in AI outputs.
- Expert proficiency in PyTorch or TensorFlow/Keras.
- Advanced Python skills and experience with Hugging Face Transformers.
- Experience with AWS, Google Cloud, or MLOps tools.
- Familiarity with vector databases for RAG evaluation.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
AI & Machine Learning Engineer - AI Training
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 & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
- Refine RLHF Frameworks: provide the 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. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
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