AI Engineer/ML Engineer - Senior Developers - AI Training - Oxford, UK

prolificacademicltd; USA; Remote; USD 66.000 - 110.000; Vollzeit

Benefits dieser Stelle

Fully remote

Hourly tasks paid up to $80

Flexible contributor arrangement

Zusammenfassung

ProlificAcademic Ltd in the United States is seeking a senior AI/ML engineer to contribute to an expert network that provides critical judgement for training and evaluating large language models. The role is remote and task-based, focusing on improving model accuracy, safety, and reasoning quality.

You will review architectures, loss functions, and training loops; audit code, and deliver rigorous feedback to support RLHF and alignment efforts, with emphasis on surfacing hallucinations and

Qualifikationen

• BS, MS, or PhD in Computer Science, AI, Robotics, or related quantitative field focused on ML.
• Track record of building, deploying, or fine-tuning ML models in production.
• Proficiency with neural network architectures (Transformers, CNNs, RNNs) and modern optimization methods.
• Experience with LLM workflows including prompt engineering, RLHF, or RAG.
• Ability to audit model logic and detect data contamination with rigorous math scrutiny.

Aufgaben

• Assess AI-generated content for correctness in model architectures, loss functions, and backpropagation.
• Review ML codebases and notebooks, validating training loops and data pipelines.
• Deliver rigorous human feedback to inform RLHF and alignment efforts.
• Interrogate chain-of-thought reasoning to surface hallucinations and flawed logic.
• Perform benchmarking of model outputs against defined technical metrics.

Kenntnisse

Transformers

RLHF

LLM

Ausbildung

BS/MS/PhD in Computer Science or AI

Tools

PyTorch

TensorFlow

AWS SageMaker

Jobbeschreibung

Role overview

Contribute as a senior AI/ML engineer in an expert network that supplies research teams with high-calibre technical judgement for training and evaluating large language models. The role is remote and task-based, attached to the Oxford, UK region, and focuses on improving model accuracy, safety, and reasoning quality.

Responsibilities

• Assess AI-generated technical content on model architectures, loss functions, and backpropagation for correctness.
• Review ML codebases and notebooks, validating training loops, data pipelines, and evaluation logic.
• Deliver rigorous human feedback that informs RLHF and alignment efforts.
• Interrogate chain-of-thought reasoning, surfacing hallucinations, biased outputs, and breakdowns in logic.
• Perform comparative benchmarking of model outputs against defined technical taxonomies and metrics.

Requirements

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a closely related quantitative field centred on machine learning.
• Track record of building, deploying, or fine-tuning ML models in production.
• Professional understanding of neural network architectures (Transformers, CNNs, RNNs) and modern optimization methods.
• Experience with LLM-specific workflows including prompt engineering, RLHF, or RAG.
• Ability to audit model logic, detect data contamination, and evaluate the mathematics behind ML algorithms.
• Careful, sceptical eye for catching subtle hallucinations and reasoning failures.

Nice to have

• Expert-level command of PyTorch or TensorFlow/Keras, advanced Python (NumPy, Pandas, Scikit-learn), and Hugging Face Transformers.
• Familiarity with AWS SageMaker, Google Vertex AI, or tools such as Weights & Biases, LangChain, Pinecone, Milvus, or Weaviate.

Benefits and work setup

• Fully remote, flexible contributor arrangement with paid hourly tasks, often paying up to $80 per hour for this profile.
• Typical tasks require around an hour of focused, uninterrupted work, though many are shorter.